Research of License Plate Recognition under Complex Environment

Abstract:

In order to improve the license plate recognition accuracy under complex environment, a new license location algorithm combining vertical edge detection, color information of the license plate and mathematical morphology is presented in this paper. For balance of computing load and recognition accuracy, a “200-d” character feature rule is designed, and the “200-d” feature is used as the input of BP neural network to recognize the characters. Based on the above-mentioned methods, a license plate recognition system is set up, which can locate and recognize the license plate effectively, even when the resolution of pictures and the position of vehicles in the pictures are not fixed. Experimental results indicate that the recognition rate of the algorithm reaches 90.5%.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 2569-2575
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.2569
• Online since: July 2014
• Authors: Feng Gao, Zhong Jian Dai, Kun Zhou, Ya Ping Dai*
• Keywords: Character Feature Extraction, Edge Detection, License Plate Color Information, License Plate Recognition, Neural Network (NN)

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