Title :
A new car plate recognition method based on fuzzy entropy
Author :
Tao, Qingchuan ; He, Xiaohai ; Luo, Daishen ; Wu, Wei
Author_Institution :
Coll. of Electron. Inf., Sichuan Univ., Chengdu, China
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 several recognisers is proposed to recognize the car plate characters. The recognition rate of over 97% under various illumination conditions in real applications shows that the proposed method is effective and reliable for car plate recognition.
Keywords :
automobiles; character recognition; entropy; fuzzy set theory; image segmentation; antinoise capability; car plate character extraction; car plate character recognition rate; fuzzy entropy; illumination conditions; multiple threshold values; prior knowledge; segmentation technique; Character recognition; Data mining; Educational institutions; Entropy; Fuzzy sets; Helium; Image segmentation; Information technology; Lighting; Morphology;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342262
