The Study Of License Plate Location And Character Segmentation

被引：0
|
作者：
Lang, Yao [1 ]
Sun, Yanpeng [1 ]
机构：
[1] Shenyang Aerosp Univ, Sch Elect Informat Engn, Shenyang 110136, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS | 2012年 / 8349卷
关键词：
texture characteristics; license plate location; adaptive threshold; character segmentation; BP neural network;
D O I：
10.1117/12.921067
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to improve the accuracy and precision of license plate location in license plate recognition system. The text introduces a license plate location algorithm with an adaptive threshold, which can achieve the exact location of the license plate based on an improved texture characteristic. The features of character segmentation are in the projection threshold which is able to change according to different images. Finally BP neural network is used to identify each character. Experimental results show that the method can achieve accurate license plate recognition and it has the following advantages such as accurate positioning, robustness and so on.
引用
收藏
页数：5
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