Log in

Relevant bibliographies by topics / Optical Character Reading / Journal articles

To see the other types of publications on this topic, follow the link: Optical Character Reading.

Journal articles on the topic 'Optical Character Reading'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Optical Character Reading.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Hendradito Dwi Aprillian, Hindriyanto Dwi Purnomo, and Hari Purwanto. "Utilization of Optical Character Recognition Technology in Reading Identity Cards." International Journal of Information Technology and Business 4, no. 2 (2022): 38–46. https://doi.org/10.24246/ijiteb.422022.38-46.

Full text

Abstract:

Along with the times, the world of banking is also required to have growth in providing services to the public. The world of banking itself has a significant contribution in daily life. However, some deficiencies that arise due to the application of the procedures used are still often encountered. This situation can be seen from the number of customer self-registration data that is still done manually. Optical Character Recognition (OCR) technology on Citizenship Cards can be used to get the results of accuracy and speed and get the best reading results. The purpose of this study was to use Op

APA, Harvard, Vancouver, ISO, and other styles

2

IMPEDOVO, S., L. OTTAVIANO, and S. OCCHINEGRO. "OPTICAL CHARACTER RECOGNITION — A SURVEY." International Journal of Pattern Recognition and Artificial Intelligence 05, no. 01n02 (1991): 1–24. http://dx.doi.org/10.1142/s0218001491000041.

Full text

Abstract:

In order to highlight the interesting problems and actual results on the state of the art in optical character recognition (OCR), this paper describes and compares preprocessing, feature extraction and postprocessing techniques for commercial reading machines. Problems related to handwritten and printed character recognition are pointed out, and the functions and operations of the major components of an OCR system are described. Historical background on the development of character recognition is briefly given and the working of an optical scanner is explained. The specifications of several re

APA, Harvard, Vancouver, ISO, and other styles

3

Grandin, Juan Carlos, Fabián Cremaschi, Elva Lombardo, Ed Vitu, and Manuel Dujovny. "Optical character recognition reading aid for the visually impaired." Neurological Research 30, no. 5 (2008): 441–43. http://dx.doi.org/10.1179/016164108x269312.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Prasetiadi, Agi, Julian Saputra, Iqsyahiro Kresna, and Imada Ramadhanti. "Deep Learning Approaches for Nusantara Scripts Optical Character Recognition." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 17, no. 3 (2023): 325. http://dx.doi.org/10.22146/ijccs.86302.

Full text

Abstract:

The number of speakers of regional languages who are able to read and to write traditional scripts in Indonesia is decreasing. If left unaddressed, this will lead to the extinction of Nusantara scripts and it is not impossible that their reading methods will be forgotten in the future. To anticipate this, this study aims to preserve the knowledge of reading ancient scripts by developing a Deep Learning model that can read document images written using one of the 10 Nusantara scripts we have collected: Bali, Batak, Bugis, Javanese, Kawi, Kerinci, Lampung, Pallava, Rejang, and Sundanese. While p

APA, Harvard, Vancouver, ISO, and other styles

5

彭, 思淇. "Develop of Low Cost Meter Reading System by Optical Character Recognition." Instrumentation and Equipments 05, no. 03 (2017): 55–62. http://dx.doi.org/10.12677/iae.2017.53008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Arditi, Aries, Kenneth Knoblauch, and Ilana Grunwald. "Reading with fixed and variable character pitch." Journal of the Optical Society of America A 7, no. 10 (1990): 2011. http://dx.doi.org/10.1364/josaa.7.002011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Gordin, Shai. "Optical character recognition for ancient non-alphabetic scripts." Open Access Government 36, no. 1 (2022): 280–81. http://dx.doi.org/10.56367/oag-036-10262.

Full text

Abstract:

Optical character recognition for ancient non-alphabetic scripts Cuneiform is one of the earliest writing systems in the world, invented at the end of the fourth millennium BCE. It is usually written by pressing a stylus on moist clay tablets, creating a three-dimensional script. The script is logo-syllabic, like the Chinese or Japanese writing systems, meaning the same sign can be read logographically, as a word, as syllables, or as determinatives (ie semantic classifiers). The correct reading depends on the context. There are close to a thousand cuneiform signs, not all of which were used si

APA, Harvard, Vancouver, ISO, and other styles

8

Valentino, Jonathan, and Yeremia Alfa Susetyo. "Analisis Perbandingan Optical Character Recognition Google Vision dengan Microsoft Computer Vision pada Pembacaan KTP-el." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 7, no. 4 (2023): 552–61. http://dx.doi.org/10.35870/jtik.v7i4.1046.

Full text

Abstract:

In this era, the need of digital data is rapidly increasing. Electronic Residental Identity Card or KTP-el is the official identity card for resident of Indonesia. One fast way to extract information on an image is by using OCR/Optical Character Recognition. Competition between Google Vision API and Microsoft Computer Vision in providing OCR service encourage companies to choose the right provider. Method conducted in this research including literature review on both OCR service provider, identification and KTP-el sample image retrieval, data grouping, code implementation and accuracy testing,

APA, Harvard, Vancouver, ISO, and other styles

9

Neve, Pranjali. "Digital Transformation of Conventional Water Meter using ESP32-CAM." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem48197.

Full text

Abstract:

ABSTRACT- This project presents a cost-effective and efficient solution for automating the reading of conventional analog water meters by leveraging ESP32-CAM, a compact and affordable microcontroller with camera capabilities. Traditional analog water meters, while reliable and durable, require manual readings that are labor-intensive and prone to human error. To address these limitations, the proposed system uses image capture and Optical Character Recognition (OCR) techniques to digitally extract numerical readings from the meter. The extracted data is transmitted in real-time to an online s

APA, Harvard, Vancouver, ISO, and other styles

10

Rizvi, Murtaza Abbas, Madhup Shrivastava, and Monika Sahu. "ARTIFICIAL NEURAL NETWORK BASED CHARACTER RECOGNITION USING BACKPROPAGAT." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 1 (2012): 184–87. http://dx.doi.org/10.24297/ijct.v3i1c.2777.

Full text

Abstract:

Optical Character Recognition, or OCR, is a technology that enables you to convert different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera into editable and searchable data format. OCR is the translation of optically scanned bitmap of printed or written text character into the character codes, such as ASCII. This is an efficient way to turn hard copy material into digital data files that can be edited or manipulated. The optical character recognition refers to the branch of computer science that involves reading text from paper and transl

APA, Harvard, Vancouver, ISO, and other styles

11

Zeng, Chuyan. "Research on Minority Character Recognition - Taking Small Seal Font as an Example." Applied and Computational Engineering 100, no. 1 (2024): 167–76. https://doi.org/10.54254/2755-2721/2025.18118.

Full text

Abstract:

Text recognition is one of the important fields of computer vision and is widely used in automated office, assisted reading and other fields. With the continuous development of deep learning, the visual language text recognition method generated by the combination of optical character recognition and natural language processing involves the technology of recognizing text information from images or videos, which greatly improves the machine's understanding ability and interaction efficiency. However, for some niche fonts, such as Urdu, Xixia, and Xiaozhuan, these characters have complex structu

APA, Harvard, Vancouver, ISO, and other styles

12

Ruwanmini, Shashika, Kapila Dias, Clera Niluckshini, and Terrance Nandasara. "Sinhala Inscription Character Recognition Model using Deep Learning Technologies." International Journal on Advances in ICT for Emerging Regions (ICTer) 16, no. 1 (2023): 1–11. http://dx.doi.org/10.4038/icter.v16i1.7239.

Full text

Abstract:

Nowadays archaeology experts put huge effort into extracting meaningful information manually from inscriptions. They take at least one month to identify a character. Characters have evolved into different shapes over the centuries. Archeology experts analyze all these shapes one by one to recognize a character. Reading inscriptions directly using manual procedure would be time-consuming and inefficient due to lack of inconsistency. Therefore, it is required to develop a modern technological solution to recognize ancient Sinhala inscription characters. With the purpose of that, this research ma

APA, Harvard, Vancouver, ISO, and other styles

13

Botha, I., G. Bright, and J. Collins. "Dielectric Elastomer Actuators and Optical Character Recognition in a Braille Display." R&D Journal 38 (2022): 31–42. http://dx.doi.org/10.17159/2309-8988/2022/v38a4.

Full text

Abstract:

The purpose of this study was the development and experimental validation of a novel portable tactile braille reading device. This design aimed to address the lack of quality braille reading material in South African schools dedicated to the blind and visually impaired. The design was divided into four subsystems: the actuation of the refreshable braille display, the mechanical design of the hand mounted device, the Optical Character Recognition (OCR) software and the electronic control system. The objectives of the study included the design of the electrical, mechanical and software subsystem

APA, Harvard, Vancouver, ISO, and other styles

14

Ishan, Gulati*1 Gautam Vig2 &. Vijay Khare3. "REAL TIME HANDWRITTEN CHARACTER RECOGNITION USING ANN." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 4 (2018): 357–62. https://doi.org/10.5281/zenodo.1218609.

Full text

Abstract:

<em>-</em>Real time  Handwritten Character Recognition by using Template Matching is a system which is useful to recognize the character or alphabets in the given text by comparing two images of the alphabet. The objectives of this system prototype are to develop a program for the Optical Character Recognition (OCR) system by using the Template Matching algorithm . Handwritten character recognition is a challenging task in the field of research on image processing, artificial intelligence as well as machine vision since the handwriting varies from person to person. Moreover, the handwriti

APA, Harvard, Vancouver, ISO, and other styles

15

Lovie-Kitchin, Jan, and Steve Whittaker. "Relative-size Magnification versus Relative-distance Magnification: Effect on the Reading Performance of Adults with Normal and Low Vision." Journal of Visual Impairment & Blindness 92, no. 7 (1998): 433–46. http://dx.doi.org/10.1177/0145482x9809200704.

Full text

Abstract:

In the study reported here, the effect of character size on the reading rates of adults with normal and low vision was measured using both relative-size magnification (by which the print size is increased) and relative-distance magnification (by which the reading distance is decreased with appropriate optical correction). With relative-distance magnification, the reading rates of the subjects with normal vision were slower at close distances, but the results were small and inconsistent. For the subjects with low vision, the magnification method did not affect their reading rates.

APA, Harvard, Vancouver, ISO, and other styles

16

Hamed Alanazi, Nashmiah Batel. "READING ARABIC TEXTS USING AI: CHALLENGES AND INNOVATIONS." International Journal of Research in Education and Psychology 11, no. 01 (2025): 42–45. https://doi.org/10.54513/ijrep.2025.11015.

Full text

Abstract:

The advancement of Artificial Intelligence (AI) in natural language processing (NLP) has significantly improved the ability to read and interpret Arabic texts. However, due to the complexity of Arabic script, including its rich morphology, diacritical system, and diverse dialects, AI models face unique challenges in accurately processing Arabic text. This paper explores the key difficulties in reading Arabic using AI, recent breakthroughs in Optical Character Recognition (OCR) and NLP, and future prospects for improving AI-driven Arabic text comprehension.

APA, Harvard, Vancouver, ISO, and other styles

17

Kumar Prasad, Binod. "SLOPE AND CURVE CODING TO RECOGNIZE ENGLISH NUMERALS." International Journal of Students' Research in Technology & Management 8, no. 2 (2020): 15–20. http://dx.doi.org/10.18510/ijsrtm.2020.823.

Full text

Abstract:

Purpose: Lines and Curves are important parts of characters in any script. Features based on lines and curves go a long way to characterize an individual character as well as differentiate similar-looking characters. The present paper proposes an English numerals recognition system using feature elements obtained from the novel and efficient coding of the curves and local slopes. The purpose of this paper is to recognize English numerals efficiently to develop a reliable Optical Character recognition system. Methodology: K-Nearest Neighbour classification technique has been implemented o

APA, Harvard, Vancouver, ISO, and other styles

18

Andi Zulhijar, Muh Basri, and Marlina Marlina. "Implementasi Optical Character Recognition (OCR) untuk Otomasi Penghitungan Tagihan Listrik." Jurnal Publikasi Manajemen Informatika 3, no. 3 (2025): 162–71. https://doi.org/10.55606/jupumi.v3i3.3752.

Full text

Abstract:

With the advancement of technology, automation in various aspects of life has become a necessity, including in the electricity billing system. The use of Optical Character Recognition (OCR) for automating electricity bill calculation can be an effective solution to improve efficiency and accuracy in administrative processes. This study aims to implement OCR in the automatic calculation of electricity bills, starting with scanning the numbers printed on electricity meters. The OCR system developed in this research converts the numbers printed on the meter into digital data that can be further p

APA, Harvard, Vancouver, ISO, and other styles

19

Nigar, Natasha, Hafiz Muhammad Faisal, Muhammad Kashif Shahzad, Shahid Islam, and Olukayode Oki. "An Offline Image Auditing System for Legacy Meter Reading Systems in Developing Countries: A Machine Learning Approach." Journal of Electrical and Computer Engineering 2022 (November 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/4543530.

Full text

Abstract:

The developing countries are challenged with overbilling and underbilling, due to manual meter reading, which results in consumer dissatisfaction and loss of revenue. The existing automated meter reading (AMR) solutions are expensive; hence, sample-based manual snap auditing systems are introduced to control such meter reading inaccuracies. In these systems, the meter reader, besides reading, also collects meter images, which are used to manually audit the meter’s accuracy. Although such systems are inexpensive, they are limited in their ability to be sustainable and ensure 100% accurate meter

APA, Harvard, Vancouver, ISO, and other styles

20

Tang, Qing, YoungSeok Lee, and Hail Jung. "The Industrial Application of Artificial Intelligence-Based Optical Character Recognition in Modern Manufacturing Innovations." Sustainability 16, no. 5 (2024): 2161. http://dx.doi.org/10.3390/su16052161.

Full text

Abstract:

This paper presents the development of a comprehensive, on-site industrial Optical Character Recognition (OCR) system tailored for reading text on iron plates. Initially, the system utilizes a text region detection network to identify the text area, enabling camera adjustments along the x and y axes and zoom enhancements for clearer text imagery. Subsequently, the detected text region undergoes line-by-line division through a text segmentation network. Each line is then transformed into rectangular patches for character recognition by the text recognition network, comprising a vision-based tex

APA, Harvard, Vancouver, ISO, and other styles

21

Raihan, Raihan Fadhil, Hendrick Hendrick, Novi Novi, and Gwo -Jiun Horn. "Parking Identification System with Integration of Optical Character Recognition (OCR) and Radio Frequency Identification (RFID)." JECCOM: International Journal of Electronics Engineering and Applied Science 2, no. 1 (2024): 10–17. https://doi.org/10.30630/jeccom.2.1.10-17.2024.

Full text

Abstract:

The Indonesian National Police (Polri) reported a significant increase in the number of crime cases during the period January - April 2023. Based on these conditions, an innovative security system is needed that can reduce the risk of motor vehicle theft. This tool is equipped with the help of an IP Camera and runs a program that has been made on programming software using OpenCV Python. The IP Camera is used to capture video that can be accessed on the server to process whether there is a license plate number detected and read the vehicle license plate number. This system integrates Radio Fre

APA, Harvard, Vancouver, ISO, and other styles

22

Ircham Aji Nugroho, Bety Hayat Susanti, Mareta Wahyu Ardyani, and Nadia Paramita R.A. "The Design of a C1 Document Data Extraction Application Using a Tesseract-Optical Character Recognition Engine." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 8, no. 1 (2024): 42–53. http://dx.doi.org/10.29207/resti.v8i1.5151.

Full text

Abstract:

The 2019 election process used the Vote Counting Information System, also known as Sistem Informasi Penghitungan Suara (Situng), to provide transparency in the recapitulation process. The data displayed in Situng is from document C1 for 813,336 voting stations in Indonesia. The data collected from the C1 document is entered and uploaded into Situng by the officers of the Municipal General Election Commission (GEC). Since this process is performed by humans, it is not immune to errors. In the recapitulation process of the 2019 election results, there were 269 data entry errors, and the data ent

APA, Harvard, Vancouver, ISO, and other styles

23

Gupta, Monica, Alka Choudhary, and Jyotsna Parmar. "Analysis of Text Identification Techniques Using Scene Text and Optical Character Recognition." International Journal of Computer Vision and Image Processing 11, no. 4 (2021): 39–62. http://dx.doi.org/10.4018/ijcvip.2021100104.

Full text

Abstract:

In today's era, data in digitalized form is needed for faster processing and performing of all tasks. The best way to digitalize the documents is by extracting the text from them. This work of text extraction can be performed by various text identification tasks such as scene text recognition, optical character recognition, handwriting recognition, and much more. This paper presents, reviews, and analyses recent research expansion in the area of optical character recognition and scene text recognition based on various existing models such as convolutional neural network, long short-term memory

APA, Harvard, Vancouver, ISO, and other styles

24

Pramila, Shinde, Soni Niyoshi, Shrotriya Dhruwangi, and Shivhare Sahil. "Transcription of Text." Advancement in Image Processing and Pattern Recognition 5, no. 1 (2022): 1–8. https://doi.org/10.5281/zenodo.6451792.

Full text

Abstract:

<em>Optical Character Recognition (OCR) is a technology that recognizes text in documents and converts it into an editable machine-readable format. Feature extraction, recognition, and classification into appropriate labels are the primary components of an OCR system. This paper uses image processing and (OCR) based architecture to segment, recognize, and identify documents. Moreover, handwriting has evolved, as evidenced by the different types of handwritten characters such as digit, numeral, cursive script, and symbols English and other languages. The automatic recognition of text can be an

APA, Harvard, Vancouver, ISO, and other styles

25

Evans, D., and C. J. Spicer. "Advances in High-Speed Phosphor Printing." Proceedings of the Institution of Mechanical Engineers, Part B: Management and engineering manufacture 201, no. 2 (1987): 85–90. http://dx.doi.org/10.1243/pime_proc_1987_201_050_02.

Full text

Abstract:

The development of the optical character reading (OCR) machine for high-speed code marking and sortation of letter mail has led to the need for a high-speed method of printing the phosphorescent code marks used by the mechanised letter sorting machines. This paper looks at the requirements for the printing system, the method adopted and the results achieved.

APA, Harvard, Vancouver, ISO, and other styles

26

Ritonga, Mahyudin, Manoj L. Bangare, Pushpa Manoj Bangare, et al. "Optimized convolutional neural network deep learning for Arabian handwritten text recognition." Bulletin of Electrical Engineering and Informatics 14, no. 2 (2025): 1497–506. https://doi.org/10.11591/eei.v14i2.7696.

Full text

Abstract:

In general, the term handwritten character recognition (HCR) refers to the process of recognizing handwritten characters in any form, whereas handwritten text recognition (HTR) refers to the process of reading scanned document images that include text lines and converting those text lines into editable text. The identification of recurring structures and configurations in data is the primary focus of the field of machine learning known as pattern recognition. Optical character recognition, often known as OCR, is a challenging issue to solve when it comes to the field of pattern recognition. Th

APA, Harvard, Vancouver, ISO, and other styles

27

Pingalkar, Parth. "Automatic Number Plate Recognition using Machine Learning and Image Processing." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46326.

Full text

Abstract:

Abstract—Over the past few years, the need for intelligent transportation systems has grown tremendously because of the fast growth of urbanization and vehicle density. Effective vehicle monitoring is critical for uses like traffic law enforcement, toll collection, parking management, and access control. Automatic Number Plate Recognition (ANPR) is one of the key technologies supporting these applications and is concerned with detecting and reading vehicle registration numbers from digital video streams or image streams. This work suggests a strong ANPR system based on YOLOv8 for plate localiz

APA, Harvard, Vancouver, ISO, and other styles

28

Wei, Shenghan, Xiang Li, Yong Yao, and Suixian Yang. "A Novel Short-Memory Sequence-Based Model for Variable-Length Reading Recognition of Multi-Type Digital Instruments in Industrial Scenarios." Algorithms 16, no. 4 (2023): 192. http://dx.doi.org/10.3390/a16040192.

Full text

Abstract:

As a practical application of Optical Character Recognition (OCR) for the digital situation, the digital instrument recognition is significant to achieve automatic information management in real-industrial scenarios. However, different from the normal digital recognition task such as license plate recognition, CAPTCHA recognition and handwritten digit recognition, the recognition task of multi-type digital instruments faces greater challenges due to the reading strings are variable-length with different fonts, different spacing and aspect ratios. In order to overcome this shortcoming, we propo

APA, Harvard, Vancouver, ISO, and other styles

29

Fritsche, Ulrich, and Mark Spoerer. "Introduction: Digital History." Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook 64, no. 1 (2023): 1–7. http://dx.doi.org/10.1515/jbwg-2023-0001.

Full text

Abstract:

Abstract New digital methods are currently enhancing the historian’s toolbox fundamentally. This thematic issue is a collection of papers discussing case studies in the fields of digitization, optical character recognition, distant reading, text mining, network analysis, and historical geographical information systems. The papers discuss opportunities and limitations in the application of digital methods in historical studies and point out fields of future applications.

APA, Harvard, Vancouver, ISO, and other styles

30

BIKTASHEV, VADIM, VALENTIN KRINSKY, and HERMANN HAKEN. "A WAVE APPROACH TO PATTERN RECOGNITION (WITH APPLICATION TO OPTICAL CHARACTER RECOGNITION)." International Journal of Bifurcation and Chaos 04, no. 01 (1994): 193–207. http://dx.doi.org/10.1142/s0218127494000149.

Full text

Abstract:

The possibility of using nonlinear media as a highly parallel computation tool is discussed, specifically for image classification and recognition. Some approaches of this type are known, that are based on stationary dissipative structures which can “measure” scalar products of images. In this paper, we exploit the analogy between binary images and point sets, and use the Hausdorff metrics for comparing the images. It does not require the measure at all, and is based only on the metrics of the space whose subsets we consider. In addition to Hausdorff distance, we suggest a new “nonlinear” vers

APA, Harvard, Vancouver, ISO, and other styles

31

Pattillo, Suzan Trefry, Kathryn Wolf Heller, and Maureen Smith. "The Impact of a Modified Repeated-Reading Strategy Paired with Optical Character Recognition on the Reading Rates of Students with Visual Impairments." Journal of Visual Impairment & Blindness 98, no. 1 (2004): 28–46. http://dx.doi.org/10.1177/0145482x0409800104.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Latha, M. Madhuri. "Automated Water Meter Reading through Image Recognition." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5852–57. http://dx.doi.org/10.22214/ijraset.2024.61253.

Full text

Abstract:

Abstract: In this paper, we propose a solution for reading an analog water meter automatically by digitalizing the meter. Since digital water meters are expensive, we retrofit the meter using Raspberry Pi, a camera, and an LED. Though the structure of the analog water meter is simple, consumes less power, and has high durability, it has some disadvantages. Primarily, it requires human effort for reading, which is time-consuming and causes inconvenience to users. To address this challenge, there is a need for an automated system. Thus, the project is implemented using image recognition techniqu

APA, Harvard, Vancouver, ISO, and other styles

33

Holila, Holila, Adi Rizky Pratama, Santi Arum Puspita Lestari, and Jamaludin Indra. "INTRODUCTION NATIONAL IDENTIFICATION NUMBER AND NAME ON ID CARD USING OCR (OPTICAL CHARACTER RECOGNITION) METHOD." Jurnal Teknik Informatika (Jutif) 5, no. 4 (2024): 1191–96. https://doi.org/10.52436/1.jutif.2024.5.4.2242.

Full text

Abstract:

This study examines the use of Optical Character Recognition (OCR) methods for the automatic recognition and extraction of text from images of Identity Cards (KTP). The aim is to provide an effective solution to the problems of document forgery and duplication, particularly in the use of KTP as an identity verification tool. Utilizing the Tesseract library, this research involves preprocessing steps such as conversion to grayscale, perspective transformation, and noise reduction to enhance OCR accuracy. Testing was conducted with 50 different KTP images using Python programming, achieving an O

APA, Harvard, Vancouver, ISO, and other styles

34

Drozdova, Anastasiia O. "The Artist-Spy in V. Nabokov’s Short Story ‘The Assistant Producer’: the Representation of Sensorial and Aesthetic Experience." Вестник Пермского университета. Российская и зарубежная филология 16, no. 3 (2024): 130–37. http://dx.doi.org/10.17072/2073-6681-2024-3-130-137.

Full text

Abstract:

he article is devoted to the analysis of The Assistant Producer, Vladimir Nabokov’s first short story in English. The study explores how V. Nabokov interprets the problem of the author’s identity in foreign readers’ audience. The structural-semiotic and intertextual methods are used in the paper to identify the narrative techniques organizing the intrigue in the short story: the exposure of the character as a triple agent and the narrator as an artist. The narrator focuses on the optical and sound effects of cinema as well as on the foreign accent in other characters’ speech. These peculiariti

APA, Harvard, Vancouver, ISO, and other styles

35

Paranjape, A. "Smart Parking System using Image Detection Algorithms & Optical Character Recognition (OCR)." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 1537–41. http://dx.doi.org/10.22214/ijraset.2023.56818.

Full text

Abstract:

Abstract: The Smart Parking System is an innovative and effective solution designed to make parking more efficient in urban areas, using advanced technology to help both vehicle owners and parking operators automate and optimize the parking process. When a vehicle enters the parking lot, it is successfully identified using an advanced sensor and camera system, with a highresolution camera that records the license plate number and optical character recognition (OCR) technology. Get accurate license plate numbers. The data is then stored in the MongoDB database along with the input timestamp and

APA, Harvard, Vancouver, ISO, and other styles

36

Wang, Zhaokai, Renda Bao, Qi Wu, and Si Liu. "Confidence-aware Non-repetitive Multimodal Transformers for TextCaps." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (2021): 2835–43. http://dx.doi.org/10.1609/aaai.v35i4.16389.

Full text

Abstract:

When describing an image, reading text in the visual scene is crucial to understand the key information. Recent work explores the TextCaps task, i.e. image captioning with reading Optical Character Recognition (OCR) tokens, which requires models to read text and cover them in generated captions. Existing approaches fail to generate accurate descriptions because of their (1) poor reading ability; (2) inability to choose the crucial words among all extracted OCR tokens; (3) repetition of words in predicted captions. To this end, we propose a Confidence-aware Non-repetitive Multimodal Transformer

APA, Harvard, Vancouver, ISO, and other styles

37

Utomo, Victor, Agusta Praba Ristadi Pinem, and Bernadus Very Christoko. "Pengenalan Karakter Optis untuk Pencatatan Meter Air dengan Long Short Term Memory Recurrent Neural Network." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, no. 1 (2021): 132–38. http://dx.doi.org/10.29207/resti.v5i1.2807.

Full text

Abstract:

Clean water service providers in Indonesia are still recording water meters as water usage data with manual recording by record collector. Alternative solutions for recording water meters from previous research use the Internet of Things (IoT) or image recognition that is processed on a server. The solutions rely on the Internet which is unsuitable with Indonesia’s condition. This study proposes a water meter reading system that can work on mobile devices without using the Internet. The system works by utilizing optical character recognition (OCR) using the Long Short Term Memory Recurrent Neu

APA, Harvard, Vancouver, ISO, and other styles

38

Gippert, Jost, and Daniel Stökl Ben Ezra. "Reading Georgian Manuscripts Automatically on the eScriptorium Platform." Digital Kartvelology 3 (December 27, 2024): 5–24. https://doi.org/10.62235/dk.3.2024.8508.

Full text

Abstract:

The article outlines the development of means for an automatic reading of Georgian manuscripts on the eScriptorium platform and the first results achieved with them. After an overview of the efforts undertaken in applying Optical Character Recognition (OCR) to Georgian printed books since the late 1980’s and a short introduction into the basics of the eScriptorium approach to Handwritten Text Recognition (HCR) and its functionalities, it exemplifies the application of the three core procedures of eScriptorium, which consist in the automatic segmentation of text-covered regions and lines, the a

APA, Harvard, Vancouver, ISO, and other styles

39

R, Jaichandran, Somasundaram K, Bhagyashree Basfore, Menaka I.S, and Uma S. "Prototype to Help Visually Impaired Person in Reading Printed Learning Materials using Raspberry PI." International Journal of Engineering & Technology 7, no. 3.1 (2018): 82. http://dx.doi.org/10.14419/ijet.v7i3.1.16803.

Full text

Abstract:

This paper presents a prototype to help visually impaired persons in reading printed learning materials using Raspberry PI. Tesseract an open source optical character recognition technique is used extract texts in printed images and converted to audio output using text-to-speech conversion software. Prototype is experimented using printed text pages with various font sizes and line spacing as test cases. Results show that the prototype is better in converting printed texts to speech. However quality of image, font size, and line space affects performance of prototype in converting printed text

APA, Harvard, Vancouver, ISO, and other styles

40

Ma, Hsing-Yuan, Hen-Hsen Huang, and Chao-Lin Liu. "Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 23808–10. http://dx.doi.org/10.1609/aaai.v38i21.30572.

Full text

Abstract:

Chinese historical documents, with their unique layouts and reading patterns, pose significant challenges for traditional Optical Character Recognition (OCR) systems. This paper introduces a tailored OCR system designed to address these complexities, particularly emphasizing the crucial aspect of Reading Order Detection(ROD). Our system operates through a threefold process: text detection using the Differential Binarization++ model, text recognition with the SVTR Net, and a novel ROD approach harnessing raw image features. This innovative method for ROD, inspired by human perception, utilizes

APA, Harvard, Vancouver, ISO, and other styles

41

Hamdan, Yasir Babiker, and Sathish. "Construction of Statistical SVM based Recognition Model for Handwritten Character Recognition." June 2021 3, no. 2 (2021): 92–107. http://dx.doi.org/10.36548/jitdw.2021.2.003.

Full text

Abstract:

There are many applications of the handwritten character recognition (HCR) approach still exist. Reading postal addresses in various states contains different languages in any union government like India. Bank check amounts and signature verification is one of the important application of HCR in the automatic banking system in all developed countries. The optical character recognition of the documents is comparing with handwriting documents by a human. This OCR is used for translation purposes of characters from various types of files such as image, word document files. The main aim of this re

APA, Harvard, Vancouver, ISO, and other styles

42

.Mamatha, Mrs B. "Revolutionizing Toll Collection with Automatic Number Plate Detection Systems." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50483.

Full text

Abstract:

Abstract—One kind of security system is the number plate recognition system. The NPR s ystem uses image processing principles. Additionally, this makes use of an OCR (Optical Character Recognition) system to decipher images of license plates. Tollway authorities utilize number plate recognition systems for a variety of reasons, one of which is to automatically recognize a vehicle's license plate, give the driver with a pay-slip, and then open the toll road to that vehicle. To authorize the car to park in their designated location, parking authorities also use this technique. The technology wor

APA, Harvard, Vancouver, ISO, and other styles

43

Che Daud, Norhayati, Ahmad Azahari Mohd Nazar, Mazlinda Abdullah, and Isyraq Nur Hazriq Muhd Fadzludin. "D-Pen: Pen reader for dyslexia students." Environment-Behaviour Proceedings Journal 9, SI17 (2024): 383–92. http://dx.doi.org/10.21834/e-bpj.v9isi17.5440.

Full text

Abstract:

Dyslexia, a persistent neurodevelopmental disorder, challenges reading, spelling, and language processing. Early identification of phonological processing issues is crucial, demanding tailored interventions for sustained academic success. An innovative solution involves using a multipurpose smartpen reader with audio capabilities that connect to smartphones. It uses optical character recognition (OCR) to digitise printed text for transfer to devices, enhancing accessibility. The added features of audio narration, pop art design, and a portable scanner with autocorrection contribute to a compre

APA, Harvard, Vancouver, ISO, and other styles

44

Ram Kumar, R. P., A. Chandra Prasad, K. Vishnuvardhan, K. Bhuvanesh, and Sanjeev Dhama. "Automated Handwritten Text Recognition." E3S Web of Conferences 430 (2023): 01022. http://dx.doi.org/10.1051/e3sconf/202343001022.

Full text

Abstract:

A computer’s capacity to recognize and convert handwritten inputs from sources like photographs and paper documents into digital format is known as Automated Handwritten Text Recognition (AHTR). Systems for reading handwriting are frequently employed in a variety of fields, including banking, finance, and the healthcare industry. In this paper, we took on the problem of categorizing any handwritten artwork, whether it be in block lettering or cursive. There are many different types of handwritten characters, including digits, symbols, and scripts in both English and other languages. This makes

APA, Harvard, Vancouver, ISO, and other styles

45

Niranchana Shree S R, Preethi K, Maharanjitham S, and Ignatius Selvarani X. "Rehabilitating Reading: Addressing Dyslexia with Innovative Approaches." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 420–25. https://doi.org/10.47392/irjaeh.2025.0057.

Full text

Abstract:

Dyslexia is a widespread, lifelong neurobiological condition that impacts an individual's ability to read, write, and spell. People with dyslexia often face difficulties in traditional educational settings, as conventional teaching methods do not align with their unique learning styles. To bridge this gap, we have developed an innovative web-based application designed to provide comprehensive reading, comprehension, and accessibility support. Our platform incorporates multiple assistive features tailored to the needs of dyslexic individuals. One of the core functionalities is a text-to-speech

APA, Harvard, Vancouver, ISO, and other styles

46

Rohan, S. Chikhale, S. Patil Parth, B. Gandhale Swapnil, and S. Patil S. "Smart Glasses for Blind People Using Raspberry Pi." Journal of Advancement in Communication System 7, no. 2 (2024): 29–35. https://doi.org/10.5281/zenodo.10940897.

Full text

Abstract:

<em>Visual impairment poses a significant challenge for humanity, especially in today's era where information is predominantly conveyed through text messages, both electronic and paper-based, rather than voice communication. The innovation of "Smart Glasses" aims to empower visually impaired individuals by assisting them in person identification and reading typed English text. These ground breaking devices serve as a solution to inspire blind students to overcome educational obstacles. The primary goal of these glasses is to revolutionize the reading experience for the blind and facilitate the

APA, Harvard, Vancouver, ISO, and other styles

47

Florentinus Budi Setiawan, Farrel Adriantama, Leonardus Heru Pratomo, and Slamet Riyadi. "Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 5 (2022): 728–34. http://dx.doi.org/10.29207/resti.v6i5.4279.

Full text

Abstract:

this artificial intelligence robot uses a mini-computer to operate it and uses mechanical movement like a four-wheeled vehicle with a 2WD drive system. In this article, a control strategy of the AGV robot will be shown and implemented to detect the location. This research Uses OCR (Optical Character Recognition) for the OpenCV library itself which has been enhanced/modified. This enhanced OCR is the main library used in text recognition. This research produces very accurate text detection compared to the default OCR that was previously used on the AGV robot in our university. After the process

APA, Harvard, Vancouver, ISO, and other styles

48

Durga, Prasad Amballa. "Developing a Haptic Feedback System for Line-by-Line Braille Translation Using OCR and OpenCV." Journal of Scientific and Engineering Research 6, no. 7 (2019): 283–87. https://doi.org/10.5281/zenodo.11826500.

Full text

Abstract:

Individuals with visual impairments face significant challenges when accessing printed educational materials, particularly textbooks. To address this issue, we propose a proof-of-concept system that combines Optical Character Recognition (OCR) and OpenCV to read textbook content line by line and translate it into Braille. The system aims to provide a haptic feedback experience similar to that of a sighted person reading a book, using a pen or stylus with a finger grip that delivers tactile sensations. This paper discusses the technical process involved in developing the system, its potential u

APA, Harvard, Vancouver, ISO, and other styles

49

Mukherjee, Sumita, Hritik Tyagi, Purushautam Tyagi, Nikita Singh, and Shraddha Bhardwaj. "OCR Using Python and Its Application." Journal of Advanced Zoology 44, S-3 (2023): 1083–92. http://dx.doi.org/10.17762/jaz.v44is-3.1062.

Full text

Abstract:

Optical Character Recognition (OCR) of papers has tremendous practical value given the prevalence of handwritten documents in human exchanges. A discipline known as optical character recognition makes it possible to convert many kinds of texts or photos into editable, searchable, and analysable data. In the past ten years, academics have developed systems that automatically evaluate printed and handwritten documents to convert them to electronic format. In the modern era, as demand for computer systems arose, the demand to convert paper text and computer vision also erose. To interact the comp

APA, Harvard, Vancouver, ISO, and other styles

50

Edi Junaedi, Syabina Nur Pajriyanti, Muhammad Subali, and Adrian Maulama Ramadhan. "DIGITAL BUSINESS CARD (DiNa) APPLICATION USING CNN ALGORITHM AND OCR TECHNOLOGY AS A FORMAL INTRODUCTION SUGGESTION." Jurnal Teknik Informatika (Jutif) 5, no. 4 (2024): 601–9. https://doi.org/10.52436/1.jutif.2024.5.4.2250.

Full text

Abstract:

The rapid development of technology makes digital business cards increasingly the first choice as a formal introduction tool that is more environmentally friendly, reducing dependence on the use of paper and ink. In addition to serving as a formal means of introduction, digital business cards are also an effective medium for conveying crucial information about an individual or company. The implementation phase of this application involves the utilization of Optical Character Recognition (OCR) as the main feature, with image pre-processing as a key step to improve reading accuracy, including no

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!