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Journal articles on the topic 'FORENSICS HANDWRITTEN DOCUMENT ANALYSIS'

Author: Grafiati

Published: 11 March 2023

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1

Krasiuk, Ihor. "SIGNATURES AND SHORT HANDWRITTEN NOTES AS OBJECTS OF EXPERT ANALYSIS." Criminalistics and Forensics, no. 67 (August 9, 2022): 427–38. http://dx.doi.org/10.33994/kndise.2022.67.44.

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A detailed scientific analysis of the signature and short handwritten notes as objects of expert research has been carried out. The essence and understanding of the object of judicial handwriting examination are determined. The etymology of the terms “document”, “signature”, “short handwritten note” is investigated, the components of the object of forensic handwriting examination are established, on the basis of which the definition of the object of forensic handwriting examination is formulated as a collective concept that includes phenomena, processes and events of objective reality related

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2

Mohammed, Twana Latif, and Ahmed Abdullah Ahmed. "Offline Writer Recognition for Kurdish Handwritten Text Document Based on Proposed Codebook." UHD Journal of Science and Technology 5, no. 1 (2021): 21–27. http://dx.doi.org/10.21928/uhdjst.v5n2y2021.pp21-27.

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Handwritten text recognition has been an ongoing attractive task to research in the field of document analysis and recognition with applications in handwriting forensics, paleography, document examination, and handwriting recognition. In the present research, an automatic method of writer recognition is presented using digitized images of unconstrained texts. Despite the increasing efforts by prior literature on the different methods used for the same purpose, such methods performance, particularly their accuracy, has not been promising, leaving plenty of room for improvements. This method mad

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Khan, Majid A., Nazeeruddin Mohammad, Ghassen Ben Brahim, Abul Bashar, and Ghazanfar Latif. "Writer verification of partially damaged handwritten Arabic documents based on individual character shapes." PeerJ Computer Science 8 (April 20, 2022): e955. http://dx.doi.org/10.7717/peerj-cs.955.

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Author verification of handwritten text is required in several application domains and has drawn a lot of attention within the research community due to its importance. Though, several approaches have been proposed for the text-independent writer verification of handwritten text, none of these have addressed the problem domain where author verification is sought based on partially-damaged handwritten documents (e.g., during forensic analysis). In this paper, we propose an approach for offline text-independent writer verification of handwritten Arabic text based on individual character shapes (

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Islam, Ammad Ul, Muhammad Jaleed Khan, Muhammad Asad, Haris Ahmad Khan, and Khurram Khurshid. "iVision HHID: Handwritten hyperspectral images dataset for benchmarking hyperspectral imaging-based document forensic analysis." Data in Brief 41 (April 2022): 107964. http://dx.doi.org/10.1016/j.dib.2022.107964.

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5

Pichugin, S. A. "On the issue of new forensic methods for establishing the limitation period for the execution of document details." Courier of Kutafin Moscow State Law University (MSAL)), no. 2 (May 17, 2021): 140–46. http://dx.doi.org/10.17803/2311-5998.2021.78.2.140-146.

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The author critically examines the original forensic technique of “copying fragments of signature strokes (handwritten records) moistened with a system of solvents”. The provisions of this method contain the statement that the color of the coloring substance can be reliably determined when the studied document details were performed. The expert determines the categories of color shades visually (by eye). The comparative stage of the expert study is based on comparing the color of the dye used to make the document under study with the color scheme of the dye details of a similar method of execu

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Hasan, Md Al Mehedi, Jungpil Shin, and Md Maniruzzaman. "Online Kanji Characters Based Writer Identification Using Sequential Forward Floating Selection and Support Vector Machine." Applied Sciences 12, no. 20 (2022): 10249. http://dx.doi.org/10.3390/app122010249.

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Writer identification has become a hot research topic in the fields of pattern recognition, forensic document analysis, the criminal justice system, etc. The goal of this research is to propose an efficient approach for writer identification based on online handwritten Kanji characters. We collected 47,520 samples from 33 people who wrote 72 online handwritten-based Kanji characters 20 times. We extracted features from the handwriting data and proposed a support vector machine (SVM)-based classifier for writer identification. We also conducted experiments to see how the accuracy changes with f

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Hora, I. V., and I. I. Popovych. "Comprehensive study of objects of judicial and technical examination of documents in solving issues regarding the establishment of their making." Uzhhorod National University Herald. Series: Law, no. 63 (August 9, 2021): 288–92. http://dx.doi.org/10.24144/2307-3322.2021.63.50.

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The article is devoted to the analysis of the essence of integrated research during the judicial and technical expertise to establish the prostitution of documents. The attention is drawn to the fact that the forensic examination with the establishment of the preparation of documents is the most difficult among other species of this kind of examinations and to be complex. The authors consider the peculiarities of this type of expertise and emphasizes that such examinations have difficulty in carrying out the use of special equipment and physicochemical research methods. The paths of determinin

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Rabaev, Irina, Izadeen Alkoran, Odai Wattad, and Marina Litvak. "Automatic Gender and Age Classification from Offline Handwriting with Bilinear ResNet." Sensors 22, no. 24 (2022): 9650. http://dx.doi.org/10.3390/s22249650.

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This work focuses on automatic gender and age prediction tasks from handwritten documents. This problem is of interest in a variety of fields, such as historical document analysis and forensic investigations. The challenge for automatic gender and age classification can be demonstrated by the relatively low performances of the existing methods. In addition, despite the success of CNN for gender classification, deep neural networks were never applied for age classification. The published works in this area mostly concentrate on English and Arabic languages. In addition to Arabic and English, th

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B.M, Adeyemi, Olaoye O.J, Uchehara C.C, Akinola O.M, and Sunmola F.O. "Adoption of Off-Line Signature Verification and Forgery Detection System Using Additive Fuzzy and TS Modelling Technique in Financial Auditing and Forensics Investigation." International Journal of Computer Science and Mobile Computing 10, no. 6 (2021): 38–59. http://dx.doi.org/10.47760/ijcsmc.2021.v10i06.004.

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This paper presents a robust signature verification and forgery detection system using Additive fuzzy and TS modeling technique. The features of various handwritten signatures are sampled with proper analysis and encapsulated to devise an effective verification system. Grid method was used to extract features angles for detection of forgeries and verification of genuine signatures. In financial Accounting, Auditing and Forensic Investigation, signature forgery could occur in various ways. This could be carried out on papers, sales documents such as invoices or inventory procurement requisition

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10

Guarnera, Luca, Giovanni Maria Farinella, Antonino Furnari, et al. "Forensic analysis of handwritten documents with GRAPHJ." Journal of Electronic Imaging 27, no. 05 (2018): 1. http://dx.doi.org/10.1117/1.jei.27.5.051230.

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Guarnera, Luca, Giovanni Maria Farinella, Antonino Furnari, et al. "Forensic analysis of handwritten documents with GRAPHJ (Erratum)." Journal of Electronic Imaging 27, no. 05 (2018): 1. http://dx.doi.org/10.1117/1.jei.27.5.059801.

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12

Kerniakevych-Tanasiichuk, Yuliia V., Viktor S. Sezonov, Iryna M. Nychytailo, Maryna A. Savchuk, and Iryna V. Tsareva. "Problems of forensic identification of handwriting in forensic examination." Journal of the National Academy of Legal Sciences of Ukraine 28, no. 1 (2021): 195–204. http://dx.doi.org/10.37635/jnalsu.28(1).2021.195-204.

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The handwritten signature as a characteristic of authentication has been legally and publicly recognised for centuries and has been used in the forensic field for many decades to identify an author. Approaches to biometric user authentication developed in recent years are also based in part on handwriting characteristics, such as automatic signature verification. This article systematically identifies handwriting features published in forensics and analyses which of these properties can be adapted as biometrics to verify the user. A user verification procedure based on a set of 14 forensic cha

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13

Zhizhina, M. V. "Forensic Handwriting Investigation Using Digital Photographic Copies of Documents." Theory and Practice of Forensic Science 15, no. 2 (2020): 70–80. http://dx.doi.org/10.30764/1819-2785-2020-2-70-80.

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The study is a part of the research of the Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation. It is the initial stage in the development of methodological recommendations for conducting forensic handwriting examinations of images of handwritten objects in digital photocopies of documents. The author has analyzed the current procedural legislation and judicial practice on the use of digital photocopies of documents in proof, as well as the modern expert practice of handwriting studies concerning the images of handwriting realizations presented in su

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Shapiro, Vladimir, Georgi Gluhchev, and Vassil Sgurev. "Handwritten document image segmentation and analysis." Pattern Recognition Letters 14, no. 1 (1993): 71–78. http://dx.doi.org/10.1016/0167-8655(93)90134-y.

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15

Bensefia, Ameur, Thierry Paquet, and Laurent Heutte. "Handwritten Document Analysis for Automatic Writer Recognition." ELCVIA Electronic Letters on Computer Vision and Image Analysis 5, no. 2 (2005): 72. http://dx.doi.org/10.5565/rev/elcvia.97.

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16

Chen, Zurui. "Classification of Pictures Using Different Algorithms." Highlights in Science, Engineering and Technology 9 (September 30, 2022): 99–103. http://dx.doi.org/10.54097/hset.v9i.1725.

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This study can be seen as an attempt of handwritten text recognition and analysis, because the dataset can be extended to a dataset including alphabets with or without the colour, and when the model can successfully learn the patterns, it can be applied to real-life applications such as scanning a handwritten document and save its text into a digital document.

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17

Antwi, Paul. "Device Information for Forensic Analysis." Advances in Multidisciplinary and scientific Research Journal Publication 1, no. 1 (2022): 373–78. http://dx.doi.org/10.22624/aims/crp-bk3-p59.

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This document provides an overview of information for forensic analysis related to device name, serial number and model of devices used to connect to social networking platforms. The increasing use of social networking applications on smartphones makes these devices a gold mine for forensic researchers. Potential evidence can be captured on these devices and recovered with the right tools and research methods. The increasing proliferation of network devices in homes and buildings increases the possibilities of finding digital traces relevant to an investigation, physical or virtual: cyber-atta

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18

WANG, DACHENG, and SARGUR N. SRIHARI. "ANALYSIS OF FORM IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 05 (1994): 1031–52. http://dx.doi.org/10.1142/s0218001494000528.

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Automatic analysis of images of forms is a problem of both practical and theoretical interest; due to its importance in office automation, and due to the conceptual challenges posed for document image analysis, respectively. We describe an approach to the extraction of text, both typed and handwritten, from scanned and digitized images of filled-out forms. In decomposing a filled-out form into three basic components of boxes, line segments and the remainder (handwritten and typed characters, words, and logos), the method does not use a priori knowledge of form structure. The input binary image

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19

Ruiz-Parrado, Victoria, Ruben Heradio, Ernesto Aranda-Escolastico, Ángel Sánchez, and José F. Vélez. "A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)." Pattern Recognition 125 (May 2022): 108513. http://dx.doi.org/10.1016/j.patcog.2021.108513.

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20

Calafato, Trevor. "Document examinations in Malta." Nowa Kodyfikacja Prawa Karnego 49 (April 18, 2019): 39–49. http://dx.doi.org/10.19195/2084-5065.49.4.

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The forensics of documents in Malta is constantly increasing in demand. This need is a reaction to the control of human trafficking and the international threat of terrorism, amongst other crimes in Malta and Europe. Besides the constant updates in the Criminal Code, document fraud analysts are increasingly in demand to ensure a more thorough and scientific analysis of forgeries of documents, stamps, seals and private writings.

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Ahmed, Ahmed Abdullah. "Kurdish Handwritten Classification Based on Human Personality Analysis." Academic Journal of Nawroz University 10, no. 1 (2021): 174. http://dx.doi.org/10.25007/ajnu.v10n1a862.

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This study proposes a holistic technique of classifying Kurdish handwritten text documents, involving several stages. The first stage entails the sectioning of Kurdish handwritten document images into lines, words, and characters and the second stage entails the obtaining of structural and statistical features from the sectioned parts that are often utilized in human personality analysis for the examination of feature behavior and effectiveness. This is done by combining the entire potential outcomes to determine the significant features set. The third stage entails the use of F-Measure to eva

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Sharma, Priya, Mohinder Singh, and Om Prakash Jasuja. "Forensic examination of electronic signatures: A comparative study." Nowa Kodyfikacja Prawa Karnego 59 (November 9, 2021): 149–84. http://dx.doi.org/10.19195/2084-5065.59.11.

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The writing of names or signatures has great importance due to its use in authentication, validation, and authorization of documents. Moreover, handwritten signatures present an aura of personality and make an impression on many people. But now, with the emergence of new technologies, a variety of electronic writing media such as digital tablets and pens are being used to produce writings and signatures; and the conventional way to produce the writing using pen and paper is waning. With the changing ways of writing and signature production, the means of producing forged writing or signature ar

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23

Kutskir, H. "CURRENT METHODS OF SIGNATURES’ TECHNICAL FORGING WITH THE USE OF TECHNICAL MEANS." Theory and Practice of Forensic Science and Criminalistics 21, no. 1 (2020): 309–17. http://dx.doi.org/10.32353/khrife.1.2020_20.

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 Taking into account a significant scientific and technological progress, use of modern monochrome or multicolor photocopiers in the office administration, and the increase in this regard in the number of signatures received for examination by forensic expert units, relevance for continuing to study signatures as one of the essential requisites of many types of documents and methods of their technical forgery becomes obvious. The purpose of the article is to highlight certain issues of current methods of signatures technical forgery. Research methods: general (formal-logical

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Kallimani, Jagadish, Chandrika Prasad, D. Keerthana, Manoj J. Shet, Prasada Hegde, and S. H. Ajeya. "Performance Analysis of Open Source Optical Character Recognition." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4267–75. http://dx.doi.org/10.1166/jctn.2020.9060.

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Optical character recognition is the process of conversion of images of text into machine-encoded text electronically or mechanically. The text on image can be handwritten, typed or printed. Some of the examples of image source can be a picture of a document, a scanned document or a text which is superimposed on an image. Most optical character recognition system does not give a 100% accurate result. This project aims at analyzing the error rate of a few open source optical character recognition systems (Boxoft OCR, ABBY, Tesseract, Free Online OCR etc.) on a set of diverse documents and makes

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Vishwanath, Neerugatti Varipally. "A COMPARATIVE ANALYSIS OF LINE AND WORD SEGMENTATION FOR HANDWRITTEN DOCUMENT IMAGE." International Journal of Advanced Research in Computer Science 9, no. 1 (2018): 514–19. http://dx.doi.org/10.26483/ijarcs.v9i1.5428.

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26

Quiniou, Solen, Mohamed Cheriet, and Eric Anquetil. "Error handling approach using characterization and correction steps for handwritten document analysis." International Journal on Document Analysis and Recognition (IJDAR) 15, no. 2 (2011): 125–41. http://dx.doi.org/10.1007/s10032-011-0156-6.

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27

Mukherjee, Jayati, Swapan K. Parui, and Utpal Roy. "An Unsupervised and Robust Line and Word Segmentation Method for Handwritten and Degraded Printed Document." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 2 (2022): 1–31. http://dx.doi.org/10.1145/3474118.

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Segmentation of text lines and words in an unconstrained handwritten or a machine-printed degraded document is a challenging document analysis problem due to the heterogeneity in the document structure. Often there is un-even skew between the lines and also broken words in a document. In this article, the contribution lies in segmentation of a document page image into lines and words. We have proposed an unsupervised, robust, and simple statistical method to segment a document image that is either handwritten or machine-printed (degraded or otherwise). In our proposed method, the segmentation

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Hiba, Khelil, Benyettou Abdelkader, and Afef Kacem. "The Incremental Artificial Immune System for Arabic Handwritten Recognition." Journal of Information Technology Research 12, no. 4 (2019): 88–106. http://dx.doi.org/10.4018/jitr.2019100105.

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The historical document is a treasure. The frequent use of these documents requires having a numeric copy. The use of these numeric documents requires developing techniques to facilitate their use. The search by content, the word spotting, and handwriting recognition became important points of research in document analysis. For this purpose, in this article is covered the recognition of the Arabic manuscript names extracted from the register of names of the Tunisian national archive. In the study, the authors have used several techniques for extracting knowledge, coding, and name recognition.

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Singh, Pawan Kumar, Supratim Das, Ram Sarkar, and Mita Nasipuri. "Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images." Journal of Intelligent Systems 27, no. 3 (2018): 465–88. http://dx.doi.org/10.1515/jisys-2016-0070.

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Abstract The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the irrelevant, noisy, and non-contributing features, resulting in acceptable classification accuracy. Harmony search algorithm (HSA) is an evolutionary algorithm that is applied to various optimization problems such as scheduling, text summarization, water distribution networks, vehicle routing, etc. This paper presents a hybrid approach based on support vector machine and HSA for wrapper feature subset selection. This approach is used to select an optimiz

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Dinges, Laslo, Ayoub Al-Hamadi, Moftah Elzobi, Sherif El-etriby, and Ahmed Ghoneim. "ASM Based Synthesis of Handwritten Arabic Text Pages." Scientific World Journal 2015 (2015): 1–18. http://dx.doi.org/10.1155/2015/323575.

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Document analysis tasks, as text recognition, word spotting, or segmentation, are highly dependent on comprehensive and suitable databases for training and validation. However their generation is expensive in sense of labor and time. As a matter of fact, there is a lack of such databases, which complicates research and development. This is especially true for the case of Arabic handwriting recognition, that involves different preprocessing, segmentation, and recognition methods, which have individual demands on samples and ground truth. To bypass this problem, we present an efficient system th

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31

Arlazarov, V. V., E. I. Andreeva, K. B. Bulatov, et al. "Document image analysis and recognition: a survey." Computer Optics 46, no. 4 (2022): 567–89. http://dx.doi.org/10.18287/2412-6179-co-1020.

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This paper analyzes the problems of document image recognition and the existing solutions. Document recognition algorithms have been studied for quite a long time, but despite this, currently, the topic is relevant and research continues, as evidenced by a large number of associated publications and reviews. However, most of these works and reviews are devoted to individual recognition tasks. In this review, the entire set of methods, approaches, and algorithms necessary for document recognition is considered. A preliminary systematization allowed us to distinguish groups of methods for extrac

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Bulatov, K. B., P. V. Bezmaternykh, D. P. Nikolaev, and V. V. Arlazarov. "Towards a unified framework for identity documents analysis and recognition." Computer Optics 46, no. 3 (2022): 436–54. http://dx.doi.org/10.18287/2412-6179-co-1024.

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Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and preventing fraud, with an increasingly high cost of error. A significant amount of research is directed to the creation of ID analysis systems with a specific focus for a subset of document types, or a particular mode of image acquisition, however, one of the challenges of the modern world is an increasing demand for identity document recognit

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33

AMMAR, MAAN. "PROGRESS IN VERIFICATION OF SKILLFULLY SIMULATED HANDWRITTEN SIGNATURES." International Journal of Pattern Recognition and Artificial Intelligence 05, no. 01n02 (1991): 337–51. http://dx.doi.org/10.1142/s0218001491000193.

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This paper compares the performances of parametric and reference pattern based features (RPBFs) in the verification of skillfully simulated handwritten signatures. The comparison shows that RPBFs significantly improve results and give about 90% correct verification using only shape features. The performance of the used shape features is independent of the signature shape, language and position in the document. The careful analysis of the experimental results of using RPBFs in verification has led to the conclusion that two-dimensional RPBFs will give much better performance.

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Gaydamakina, D., O. Drobysheva, L. Grinenko, and O. Matsiuk. "THE EXAMINATION OF SHORT HANDWRITTEN RECORDS EXECUTED BY PERSONS OF THE ELDERLY AND SENILE AGE." Theory and Practice of Forensic Science and Criminalistics 21, no. 1 (2020): 291–308. http://dx.doi.org/10.32353/khrife.1.2020_19.

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Nowadays, the objects of forensic handwriting analysis are often become short handwritten records of elderly people and senile. The study of such records is one of the most difficult when conducting handwriting examination. This is due to the nature of this object, which is often subjected to changes due to insufficient written practice, influence of age-related changes in the body or conditions common for the elderly people and senile, frequent execution of short handwritten records in unusual conditions, and sometimes with the help of other people, limitations in the studied graphic material

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Singh, Pawan Kumar, Ram Sarkar, Ajith Abraham, and Mita Nasipuri. "A Case Study on Handwritten Indic Script Classification: Benchmarking of the Results at Page, Block, Text-line, and Word Levels." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 2 (2022): 1–36. http://dx.doi.org/10.1145/3476102.

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Handwritten script classification is still considered as a challenging research problem in the domain of document image analysis. Although some research attempts have been made by the researchers for solving the challenging issues, a comprehensive solution is yet to be achieved. The case study, undertaken here, analyzes the performances of various state-of-the art handwritten script classification methods for Indian scripts where features, needed for the script classification task, are extracted from the script images at four different granularity levels, i.e., page, block, text line, or word.

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Barratt, Natalie M. "The Case for Forensic Botany." American Biology Teacher 73, no. 7 (2011): 414–17. http://dx.doi.org/10.1525/abt.2011.73.7.8.

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Would you rather solve a forensics puzzle or take a lab practical? An alternative to the traditional lab practical can be used to assess students' skills and knowledge in plant cell biology and anatomy. This forensics project challenges students to analyze evidence from crime scenarios. The instructor supplies the scenarios, evidence collected at the crime scene, and type specimens. The students prepare the evidence and type specimens for analysis by light and polarized light microscopy and then document and report their findings. Students enjoy this project and are able to demonstrate their s

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ALAEI, ALIREZA, UMAPADA PAL, and P. NAGABHUSHAN. "DATASET AND GROUND TRUTH FOR HANDWRITTEN TEXT IN FOUR DIFFERENT SCRIPTS." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 04 (2012): 1253001. http://dx.doi.org/10.1142/s0218001412530011.

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In document image analysis (DIA) especially in handwritten document recognition, standard databases play significant roles for evaluating performances of algorithms and comparing results obtained by different groups of researchers. The field of DIA regard to Indo-Persian documents is still at its infancy compared to Latin script-based documents; as such standard datasets are not still available in literature. This paper is an effort towards alleviating this gap. In this paper, an unconstrained handwritten dataset containing documents of Persian, Bangla, Oriya and Kannada (PBOK) is introduced.

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Refaey, Mohammed A. A. "Background Ruled-Lines Detection and Removal in Full-Colored Handwritten Image Documents." International Journal of Image and Graphics 15, no. 02 (2015): 1540006. http://dx.doi.org/10.1142/s0219467815400069.

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Automation becomes the standard in nearly all aspects of life. Some of these aspects are text analysis, translating and retrieval. This requires machine typed format as a preprocessing step. Converting the handwritten text into machine printed counterpart requires Optical Character Recognition (OCR) system, which requires clean text as input. One of the problems facing the process of getting clean handwritten text is the ruled background lines which are intersecting and mixed with the text. In this work, we present fast algorithms for detection and removal of these ruled lines. The detection s

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Rogers, Chris. "La traducción en xinka de la Proclama a los Habitantes de Ultramar de 1812." Tlalocan 25 (September 7, 2020): 215–86. http://dx.doi.org/10.19130/iifl.tlalocan.2020.0007.

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The purpose of this paper is to present a morphological and philological analysis of the zeeje manuscript, a handwritten document in Xinkan, an indigenous language family of Guatemala. This manuscript is a translation of an 1812 Spanish proclamation designed to bolster support for the Spanish Empire during the Napoleonic conflict and is one of five translations into indigenous languages of the Americas. However, among these known translations, the Xinkan document remains unanalyzed and poorly understood. This analysis suggests that the zeeje manuscript is a reflection of the complex geographic

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Du, Jiang, Bin Lang Chen, and Zeng Qin. "The Application of Compound Document Storage Technology in Forensic Analysis System." Applied Mechanics and Materials 610 (August 2014): 756–59. http://dx.doi.org/10.4028/www.scientific.net/amm.610.756.

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Due to the special nature of electronic data, we need to create a complete copy of the raw disks before computer forensics. There is two ways to create a copy. One is copy from Disk to disk, another is disk mirroring. The former capacity of the copy disk has fixed while image file of the latter is highly compressed already. Neither any of them can add the forensic analysis evidence; it will be handed over to the court as a whole set of evidence. This will affect the completeness and admissibility of the evidence. In this thesis, we will take the disk mirroring and storage technology into consi

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Bal, Abhishek, and Rajib Saha. "An Improved Method for Handwritten Document Analysis Using Segmentation, Baseline Recognition and Writing Pressure Detection." Procedia Computer Science 93 (2016): 403–15. http://dx.doi.org/10.1016/j.procs.2016.07.227.

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Firdonsyah, Arizona, and Danur Wijayanto. "Analisis Forensik Rekayasa Dokumen Digital dengan Metode NIST." INFORMAL: Informatics Journal 7, no. 2 (2022): 121. http://dx.doi.org/10.19184/isj.v7i2.31198.

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Digital Forensics is one of the technological fields contained many sub-fields that can assist technically in collecting digital evidence to be presented in a trial in accordance with applicable law. The example of digital forensics sub-field is Image Forensics, which aims to digitally collect and look for evidentiary facts in determining the authenticity of an image or document that contained images. Various criminal and pornographic cases involving image files are still happening nowadays, therefore forensics on images as evidence is an important key to assist the court in making decisions.

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Perdanasari, Lukie, Riyanto Sigit, and Achmad Basuki. "Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction." EMITTER International Journal of Engineering Technology 6, no. 2 (2018): 254–74. http://dx.doi.org/10.24003/emitter.v6i2.289.

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It is important that a company uses the right means to recruit employees with certain personal characteristics as needed. Nowadays, the techniques to respond to psychological tests on peopleâ€™s characteristics have been widely understood by most job applicants, so that it is difficult to know their true personality. Graphology is a way to identify a personâ€™s characteristics by analyzing the handwriting from the document text made by the applicant. The two types of text document of each applicant are obtained from people of different ages and different writing times. The methods of grapholog

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Xiao, Mei Hua, Jie Tan, and Li Ke Zhuang. "The Research and Implementation of an Electronic Seal System Based on CAPICOM." Advanced Materials Research 734-737 (August 2013): 3228–33. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3228.

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In order to guarantee the secure transmission and efficient authentication of electronic official document paper, this paper puts forward the design plan of the electronic seal system with the technologies of CAPICOM, SHA-1 and USBKey. The design plan implements document protection function with major forms of electronic signature, handwritten signature and keyboard notation. Examination result and analysis proves that the system can ensure the security of the seal and guaranteed the integrality, authentication and non-repudiation of the documents. The system has broad application potential in

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Meyer, Erin, R. Shawn Underwood, and Vijayalakshmi Padmanabhan. "Patient Misidentification in Papanicolaou Tests: A Systems-Based Approach to Reducing Errors." Archives of Pathology & Laboratory Medicine 133, no. 8 (2009): 1297–300. http://dx.doi.org/10.5858/133.8.1297.

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Abstract Context.—Patient safety is of prime concern in every laboratory. Double labeling of glass slides is performed in many cytology laboratories where handwritten patient information on the frosted portion of the glass is overlaid with paper labels (sometimes containing bar codes). The cytotechnologists match this information by turning slides over. We use SurePath liquid-based cytology for Papanicolaou tests in our laboratory and noticed patient misidentification because of slide labeling errors, a problem that has not been addressed in the literature. Objective.—To reduce slide labeling

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Malakar, Samir, Manosij Ghosh, Ram Sarkar, and Mita Nasipuri. "Development of a Two-Stage Segmentation-Based Word Searching Method for Handwritten Document Images." Journal of Intelligent Systems 29, no. 1 (2018): 719–35. http://dx.doi.org/10.1515/jisys-2017-0384.

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Abstract Word searching or keyword spotting is an important research problem in the domain of document image processing. The solution to the said problem for handwritten documents is more challenging than for printed ones. In this work, a two-stage word searching schema is introduced. In the first stage, all the irrelevant words with respect to a search word are filtered out from the document page image. This is carried out using a zonal feature vector, called pre-selection feature vector, along with a rule-based binary classification method. In the next step, a holistic word recognition parad

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Vinod, H. C., and S. K. Niranjan. "Camera Captured Document De-Warping and De-Skewing." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4398–403. http://dx.doi.org/10.1166/jctn.2020.9085.

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De-warping is the elementary step in the analysis of document images which are camera based. Processing of warped image is a challenging task. Therefore, to make the document images OCR understandable de-warping has become a major task. In this paper, we have presented an effective pre-processing, de-warping and de-skewing techniques for camera captured document image processing. In pre-processing, we have divided input color document image into R, G and B-band, further convert R, G, B-band to C, M and Y-color space respectively, convert the average CMY grey scale image to binary by determinin

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Xu, Hedong, Jing Zheng, Ziwei Zhuang, and Suohai Fan. "A Solution to Reconstruct Cross-Cut Shredded Text Documents Based on Character Recognition and Genetic Algorithm." Abstract and Applied Analysis 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/829602.

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The reconstruction of destroyed paper documents is of more interest during the last years. This topic is relevant to the fields of forensics, investigative sciences, and archeology. Previous research and analysis on the reconstruction of cross-cut shredded text document (RCCSTD) are mainly based on the likelihood and the traditional heuristic algorithm. In this paper, a feature-matching algorithm based on the character recognition via establishing the database of the letters is presented, reconstructing the shredded document by row clustering, intrarow splicing, and interrow splicing. Row clus

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Obaidullah, Sk Md, Chayan Halder, Nibaran Das, and Kaushik Roy. "Bangla and Oriya Script Lines Identification from Handwritten Document Images in Tri-script Scenario." International Journal of Service Science, Management, Engineering, and Technology 7, no. 1 (2016): 43–60. http://dx.doi.org/10.4018/ijssmet.2016010103.

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In this paper, two popular eastern Indian scripts namely Bangla and Oriya are considered for Line-level script identification considering two Tri-script groups where Devnagari and Roman are kept common in each group. A 27 dimensional feature vector has been constructed using FD (Fractal Dimension) and IMT (Interpolated Morphological Transform). 600 Line-level handwritten document images of each Tri-script groups have been considered for experimentation. Promising results has been found using multiple classifiers where MLP (Multi-Layer Perceptron) Neural Network and LMT (Logistic Model Tree) pe

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Sharmila D , A. V. Pra.bu, N. Selvaganesh,. "AUTHORSHIP VERIFICATION USING MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM." Psychology and Education Journal 58, no. 1 (2021): 4262–66. http://dx.doi.org/10.17762/pae.v58i1.1492.

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Digital forensics is the study of recovery and investigation of the materials found in digital devices, mainly in computers. Forensic authorship analysis is a branch of digital forensics. It includes tasks such as authorship attribution, authorship verification, and author profiling. In Authorship verification, with a given a set of sample documents D written by an author A and an unknown document d, the task is to find whether document d is written by A or not. Authorship verification has been previously done using genetic algorithms, SVM classifiers, etc. The existing system creates an ensem

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