Title :
MultiClassifier for Car Plate Character Recognition
Author :
Lin, Ke-Quan ; Han, Guo-qiang ; Wo, Yan ; Zheng, Li-Xuan ; Yao, Hao-Wei
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
This paper designs multiclassifiers according to the structural feature of the character. Meanwhile, use Bayes method to integrate the result of the classifier to general the exact character. If the character is in the similar set, we need to distinguish similar characters. According to the topological structure of the similar character, we could make the similar character apart. In this way, we could improve the recognition rate of the system. The experiments show that multiclassifiers could improve the recognition rate of the system efficiently.
Keywords :
Bayes methods; character recognition; image classification; optical character recognition; Bayes method; car plate character recognition; character structural feature; multiclassifier; Artificial neural networks; Character recognition; Feature extraction; Image recognition; Image segmentation; Licenses; Topology;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600673