License plate recognition system based on morphology and LS-SVM

Author

Zhao, Haiyan ; Song, Chuyi ; Zhao, Haili ; Zhang, Shizheng

Author_Institution

Coll. of Math. & Comput. Sci., Inner Mongolia Univ. for Nat., Tongliao

fYear

2008

fDate

26-28 Aug. 2008

Firstpage

826

Lastpage

829

Abstract

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 19.4 ms/character. Moreover the accuracy for recognition is higher.

Keywords

automated highways; character recognition; edge detection; image classification; image segmentation; least squares approximations; mathematical morphology; mathematical operators; support vector machines; LS-SVM; character segmentation; edge operator; image classification; intelligent transport field; least squares support vector machine; license plate character recognition system; mathematics morphology; Character recognition; Educational institutions; Image edge detection; Kernel; Least squares methods; Licenses; Mathematics; Morphology; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing, 2008. GrC 2008. IEEE International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-2512-9

Electronic_ISBN

978-1-4244-2513-6

Type

conf

DOI

10.1109/GRC.2008.4664738

Filename

4664738