Log in

Relevant bibliographies by topics / License plate detection, character segmentation, image processing

Contents

Journal articles
Dissertations / Theses
Book chapters
Conference papers

Academic literature on the topic 'License plate detection, character segmentation, image processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'License plate detection, character segmentation, image processing.'

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.

Journal articles on the topic "License plate detection, character segmentation, image processing"

1

Adedayo, Kayode David, and Ayomide Oluwaseyi Agunloye. "Real-time Automated Detection and Recognition of Nigerian License Plates via Deep Learning Single Shot Detection and Optical Character Recognition." Computer and Information Science 14, no. 4 (2021): 11. http://dx.doi.org/10.5539/cis.v14n4p11.

Full text

Abstract:

License plate detection and recognition are critical components of the development of a connected Intelligent transportation system, but are underused in developing countries because to the associated costs. Existing license plate detection and recognition systems with high accuracy require the usage of Graphical Processing Units (GPU), which may be difficult to come by in developing nations. Single stage detectors and commercial optical character recognition engines, on the other hand, are less computationally expensive and can achieve acceptable detection and recognition accuracy without the

APA, Harvard, Vancouver, ISO, and other styles

2

Poad, Farhana Ahmad, Noor Shuraya Othman, Roshayati Yahya Atan, Jusrorizal Fadly Jusoh, and Mumtaz Anwar Hussin. "Automated detection of vehicles license plate using image processing techniques." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 3 (2020): 1408. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1408-1415.

Full text

Abstract:

The aim of this project is to design an Automated Detection of License Plate (ADLP) system based on image processing techniques. There are two techniques that are commonly used in detecting the target, which are the Optical Character Recognition (OCR) and the split and merge segmentation. Basically, the OCR technique performs the operation using individual character of the license plate with alphanumeri characteristic. While, the split and merge segmentation technique split the image of captured plate into a region of interest. These two techniques are utilized and implemented using MATLAB sof

APA, Harvard, Vancouver, ISO, and other styles

3

Zhai, Weifang, Terry Gao, and Juan Feng. "Research on Pre-Processing Methods for License Plate Recognition." International Journal of Computer Vision and Image Processing 11, no. 1 (2021): 47–79. http://dx.doi.org/10.4018/ijcvip.2021010104.

Full text

Abstract:

The license plate recognition technology is an important part of the construction of an intelligent traffic management system. This paper mainly researches the image preprocessing, license plate location, and character segmentation in the license plate recognition system. In the preprocessing part of the image, the edge detection method based on convolutional neural network (CNN) is used for edge detection. In the design of the license plate location, this paper proposes a location method based on a combination of mathematical morphology and statistical jump points. First, the license plate ar

APA, Harvard, Vancouver, ISO, and other styles

4

Wang, Rui Feng, Xiao Jin Fu, and Wei Xu. "License Plate Recognition System Design." Applied Mechanics and Materials 738-739 (March 2015): 639–42. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.639.

Full text

Abstract:

The license plate recognition system is an important part of modern traffic management. application which is very extensive. In this paper, a method to achieve three main modules split from the image pre-processing, license plate location and character. Image pre-processing module of this article is to image gray and step by Roberts operator edge detection. License plate positioning and segmentation using mathematical morphology is used to determine the license plate location method, and then use the license plate color information of color segmentation method to complete the license plate par

APA, Harvard, Vancouver, ISO, and other styles

5

Zhu, Juan Hua, Ang Wu, and Juan Fang Zhu. "The License Plate Recognition Technology Based on Digital Image Processing." Advanced Materials Research 267 (June 2011): 778–82. http://dx.doi.org/10.4028/www.scientific.net/amr.267.778.

Full text

Abstract:

A rapid and convenient method of license plate recognition is discussed. The color plates are preprocessed by transform gray-scale transformation and image enhancement. The license plate is located by edge detection and region search algorithm, and the character segmentation is made by projection. Finally, the template is matched, and the license plate number is recognized quickly and accurately. The experiment shows that the method used in this paper can achieve better recognition results.

APA, Harvard, Vancouver, ISO, and other styles

6

Shi, Gui Ming, Tong Wu, Hang Su, and Qing Tao Wei. "Research on Identification Technology of Vehicle License Plate Based on Image Processing." Applied Mechanics and Materials 513-517 (February 2014): 2827–30. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2827.

Full text

Abstract:

Automatic vehicle license plate is an important part of intelligent transportation system. The success of the plate recognition will have a deep impact on the construction of intelligent transport systems. Image processing, tilt correction, character delimitation, character recognition and matching are main applications of vehicle license plate recognition, and the above process are implemented in matlab environment. Vehicle license plate location is implemented by vehicle license plate locating method based on edge detection and morphology filter in this article. The tilt correction mode base

APA, Harvard, Vancouver, ISO, and other styles

7

Madhan, S., and M. Pradeep. "IMAGE PROCESSING OF ANDROID-BASED PATROL ROBOT FEATURING AUTOMATIC LICENSE PLATE RECOGNITION." International Journal of Students' Research in Technology & Management 3, no. 3 (2015): 296–301. http://dx.doi.org/10.18510/ijsrtm.2015.336.

Full text

Abstract:

This work develops an Android-based robot featuring automatic license plate recognition and automatic license plate patrolling. The automatic license plate recognition feature combines 4 self-developed novel methods, Wiener deconvolution vertical edge enhancement, AdaBoost plus vertical-edge license plate detection, vertical edge projection histogram segmentation stain removal, and customized optical character recognition. Besides, the automatic license plate patrolling feature also integrates 3 novel methods, HL2-band rough license plate detection, orientated license plate approaching, and Ad

APA, Harvard, Vancouver, ISO, and other styles

8

Xu, Lin, Qin Zhang, and Yi Fan Yu. "Research of Image Processing Technology in Vehicle License Plate Recognition System." Applied Mechanics and Materials 63-64 (June 2011): 134–37. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.134.

Full text

Abstract:

Vehicle License plate recognition system includes license plate location, character segmentation, character recognition three important aspects. Image Processing is the VLPRS is one of the three key technologies, this gray-scale transformation of the image, contrast enhancement, image smoothing, edge detection, binarization and other methods were discussed and studied through the Image Processing technology to improve image Quality, strengthen the image area. Experimental results show that this treatment method is simple, real time, dealing with the right rate to achieve a practical standard.

APA, Harvard, Vancouver, ISO, and other styles

9

Farag, Mohamed Sayed, Mostafa Mohamed Mohie El Din, and Hassan Ahmed Elshenbary. "Parking entrance control using license plate detection and recognition." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 1 (2019): 476. http://dx.doi.org/10.11591/ijeecs.v15.i1.pp476-483.

Full text

Abstract:

<p>There is no doubt that car parking is a very challenging and interesting topic of surveillance. In the recent years, a lot of smart systems for parking lot access control were developed to control and register the car data. The aim of this paper is to use image processing methods to control the entrance of a smart parking. The steps of car plate recognition are: preprocessing, License plate detection, character extraction and recognition. In the step of preprocessing, image was enhanced and noise was reduced. After preprocessing stage, color filter was used to detect the plate region.

APA, Harvard, Vancouver, ISO, and other styles

10

Hussain, Bydaa Ali, and Mohammed Sadoon Hathal. "Development of Iraqi License Plate Recognition System based on Canny Edge Detection Method." Journal of Engineering 26, no. 7 (2020): 115–26. http://dx.doi.org/10.31026/j.eng.2020.07.08.

Full text

Abstract:

In recent years, there has been expanding development in the vehicular part and the number of vehicles moving on the road in all the sections of the country. Vehicle number plate identification based on image processing is a dynamic area of this work; this technique is used for security purposes such as tracking of stolen cars and access control to restricted areas. The License Plate Recognition System (LPRS) exploits a digital camera to capture vehicle plate numbers is used as input to the proposed recognition system. Basically, the developing system is consist of three phases, vehicle licens

APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "License plate detection, character segmentation, image processing"

1

Karali, Ali Onur. "An Algorithm For Multiscale License Plate Detection And Rule-based Character Segmentation." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613723/index.pdf.

Full text

Abstract:

License plate recognition (LPR) technology has great importance for the development of Intelligent Transportation Systems by automatically identifying the vehicles using image processing and pattern recognition techniques. Conventional LPR systems consist of license plate detection (LPD), character segmentation (CS) and character recognition (CR) steps. Successful detection of license plate and character locations have vital role for proper LPR. Most LPD and CS techniques in the literature assume fixed distance and orientation from the vehicle to the imaging system. Hence, application areas of

APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "License plate detection, character segmentation, image processing"

1

Caccia, Fabio, Roberto Marmo, and Luca Lombardi. "License Plate Detection and Character Recognition." In Image Analysis and Processing – ICIAP 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04146-4_51.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Zheng, Lihong, and Xiangjian He. "Character Segmentation for License Plate Recognition by K-Means Algorithm." In Image Analysis and Processing – ICIAP 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24088-1_46.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Chowdhury, Wasif Shafaet, Ashikur Rashid Khan, and Jia Uddin. "Vehicle License Plate Detection Using Image Segmentation and Morphological Image Processing." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67934-1_13.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "License plate detection, character segmentation, image processing"

1

Hou, Yongshun, Xunhui Qin, Xiangdong Zhou, Xi Zhou, and Ting Zhang. "License plate character segmentation based on stroke width transform." In 2015 8th International Congress on Image and Signal Processing (CISP). IEEE, 2015. http://dx.doi.org/10.1109/cisp.2015.7408016.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Li, Hongmei. "License plate extraction and character segmentation in haze weather." In International Conference on Signal Image Processing and Communication (ICSIPC 2021), edited by Siting Chen and Wei Qin. SPIE, 2021. http://dx.doi.org/10.1117/12.2600359.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Liu, Yongjun, Jiao Yan, Conghua Xie, and Mingxin Zhang. "A New License Plate Character Segmentation Algorithm Based on Priori Knowledge Constraints." In The 2nd International Conference on Intelligent Systems and Image Processing 2014. The Institute of Industrial Applications Engineers, 2014. http://dx.doi.org/10.12792/icisip2014.080.

Full text

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!