License Plate Recognition System Based on Morphology and LS-SVM

被引：5

作者：

Zhao, Haiyan ^{[1
]}

Song, Chuyi ^{[1
]}

Zhao, Haili ^{[2
]}

Zhang, Shizheng ^{[1
]}

机构：

[1] Inner Mongolia Univ Natl, Coll Math & Comp Sci, Tongliao Inner Mongolia 028043, Peoples R China

[2] ChangChun Univ Sci & Technol, Coll Elect & Informat Engn, Changchun 130022, Peoples R China

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2 | 2008年

关键词：

D O I：

10.1109/GRC.2008.4664738

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies on license plate recognition (LPR) system based on morphology and least squares support vector machines (LS-SVM). LPR is one of the most important research topics in intelligent transport field. Firstly, locate the license plate based on the improved Robert edge operator and morphology. Secondly, segment the characters according to the projection and real information of the license plate. Finally construct several classifiers using LS-SVM to implement the license plate character recognition. Experiment results show that the location and segmentation is accurate and the average recognition speed is about 19.4ms/character. Moreover the accuracy for recognition is higher.

引用

页码：826 / +

页数：2

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