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Recognition of Numeric Characters in License Plates using Eigennumber  

Park, Kyung-Soo (Dept. of Information and Telecommunications Eng., Univeristy of Incheon)
Kang, Hyun-Chul (Dept. of Information and Telecommunications Eng., Univeristy of Incheon)
Lee, Wan-Joo (Dept. of Computer and Information, Yong-In University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.3, 2007 , pp. 1-7 More about this Journal
Abstract
In order to recognize a vehicle license plate, the region of the license plate should be extracted from a vehicle image. Then, character region should be separated from the background image and characters are recognized using some neural networks with selected feature vectors. Of course, choice of feature vectors which serve as the basis of the character recognition has an important effect on recognition result as well as reduction of data amount. In this paper, we propose a novel feature extraction method in which number images are decomposed into linear combination of eigennumbers and show the validity of this method by applying to the recognition of numeric characters in license plates. The experimental results show the recognition rate of 95.3% for about 500 vehicle images with multi-layer perceptron neural network in the eigennumber space. Compared with the conventional mesh feature, it shows a better recognition rate by 5%.
Keywords
번호판 인식;주성분 분석;고유 숫자;신경망;
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