NDLI: License plate character segmentation from video images: A survey

Content Provider	IEEE Xplore Digital Library
Author	Wang Yutao Tian Ruixia Ma Ling Yang Gang
Copyright Year	2011
Description	Author affiliation: Centre for Vision, Image and Signal Processing, school of Northeastern University, Detection Technology and Automatic Equipment, Northeastern University (Tian Ruixia; Ma Ling) \|\| Centre for Image and Signal Processing and Multi-phase Flow Measurement, school of Northeastern University (Yang Gang) \|\| Centre for Vision, Image and Signal Processing and Multi-phase Flow Measurement, school of Northeastern University (Wang Yutao)
Abstract	License plate character segmentation is a crucial process of license plate recognition. During the process of image acquisition, because of light condition and the change of shooting distance and the diversity of the plate's format, the task become very challenging. Therefore, many algorithms are proposed under certain conditions, such as a fixed shooting distance or no illumination change. The purpose of this paper is to classify and assess the technique which has been developed for license plate character segmentation. Execution time, accuracy of segmentation, the robustness of algorithm will be reported. At last, the technique based on the connected component correction is proposed in the thesis. The result manifests that the accuracy of character segmentation could reach 84.4%.
Starting Page	25
Ending Page	30
File Size	627603
Page Count	6
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Accuracy license plate character segmentation Signal processing algorithms connected component correction Licenses Robustness grey-scale processing Character recognition Pixel binary image processing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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