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Recognition of Numeric Characters in License Plate based on Independent Component Analysis  

Jeong, Byeong-Jun (Dept. of Information and Telecommunication Eng., University of Incheon)
Kang, Hyun-Chul (Dept. of Information and Telecommunication Eng., University of Incheon)
Publication Information
Abstract
This paper presents an enhanced hybrid model based on Independent Component Analysis(ICA) in order to features of numeric characters in license plates. ICA which is used only in high dimensional statistical features doesn't consider statistical features in low dimension and correlation between numeric characters. To overcome the drawbacks of ICA, we propose an improved ICA with the hybrid model using both Principle Component Analysis(PCA) and Linear Discriminant Analysis(LDA). Experiment results show that the proposed model has a superior performance in feature extraction and recognition compared with ICA only as well as other hybrid models.
Keywords
Statistical Pattern Recognition; Independent Component Analysis; License Plate Recognition;
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Times Cited By KSCI : 3  (Citation Analysis)
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