Paper
13 September 2002 New car plate recognition method based on fuzzy entropy
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Abstract
A new method for the car plate extraction and recognition is presented in this paper. First, the segmentation technique, based on multiple threshold values determined by fuzzy entropy and the prior knowledge on car plate character, is used to extract the car plates, which has strong anti-noise capability, and is able to locate the car plates quickly in the varying backgrounds. Then, a recognition method combining the several recognizers is proposed to recognize the car plate characters. The recognition rates of over 97% under various illumination conditions in real applications shows that the proposed method is effective and reliable for car plate recognition.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qing-chuan Tao, Xiaohai He, and Deyuan Tao "New car plate recognition method based on fuzzy entropy", Proc. SPIE 4922, Color Science and Imaging Technologies, (13 September 2002); https://doi.org/10.1117/12.483130
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Cited by 1 scholarly publication.
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KEYWORDS
Fuzzy logic

Optical character recognition

Image segmentation

Detection and tracking algorithms

Signal processing

Video surveillance

Information technology

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