A License Plate Recognition Method Based on Wavelet Transform and Symmetrical Principal Component Analysis Algorithm

Abstract:

In the past, the license plate recognition algorithm has some shortcomings, such as low recognition rate, slow speed of recognition, inaccurate license plate positioning. This paper proposes a new license plate location algorithm based on wavelet transform and the principal component analysis algorithm is used to feature extraction.The experimental results show that this method can reduce the amount of computation and improve the system recognition rate.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 1743-1746
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.1743
• Online since: September 2013
• Authors: Xue Feng Deng*
• Keywords: Feature Extraction, License Plate Recognition, Symmetrical Principal Componet Analysis, Wavelet Transform (WT)

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