NDLI: License Plate Characters Segmentation Using Projection and Template Matching

Content Provider	IEEE Xplore Digital Library
Author	Deng Hongyao Song Xiuli
Copyright Year	2009
Abstract	This paper presents a new method for Car License Plate Characters’ Segmentation. The proposed approach is not only simple but also more effective than some of the existing method reported earlier. The novelty lies in this case in its treatment which not only unites the projection and template match, but also improves the techniques. The quality of image that be shot in the natural environment is poor generally. Therefore, the license characters may be broken, adhesive or hid partially. Projecting the image to horizontal direction can detects the approximate edge of single license character in the vertical direction. Then design a template on basis of prior knowledge about the license plate, and take similarity measure to match the image segmented by projection. As a result, we can get the template that its similarity is the best. License characters re-segmentation can be implemented by the best similar template standard. Tests have shown that the method has a wide adaptability and robustness. It could get the optimization matching location to segment the characters.
Starting Page	534
Ending Page	537
File Size	1175240
Page Count	4
File Format	PDF
ISBN	9780769536880
DOI	10.1109/ITCS.2009.116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-25
Publisher Place	Ukraine
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	characters segmentation projection segmentation Image edge detection Licenses template matching Character recognition Information technology Vehicles Computer science Image segmentation Feature extraction Robustness license plate that be hid partially adhesive and broken characters Testing
Content Type	Text
Resource Type	Article

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