A hierarchically combined classifier for license plate recognition

Lihong Zheng, Xiangjian He, Qiang Wu, Wenjing Jia, Bijan Samali, Marimuthu Palaniswami

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

High accuracy and fast recognition speed are two requirements for real-time and automatic license plate recognition system. In this paper, we propose a hierarchically combined classifier based on an Inductive Learning Based Method and an SVM-based classification. This approach employs the inductive learning based method to roughly divide all classes into smaller groups. Then the SVM method is used for character classification in individual groups. Both start from a collection of samples of characters from license plates. After a training process using some known samples in advance, the inductive learning rules are extracted for rough classification and the parameters used for SVM-based classification are obtained. Then, a classification tree is constructed for further fast training and testing processes for SVMbased classification. Experimental results for the proposed approach are given. From the experimental results, we can make the conclusion that the hierarchically combined classifier is better than either the inductive learning based classification or the SVMbased classification in terms of error rates and processing speeds.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Pages372-377
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008 - Sydney, NSW, Australia
Duration: 8 Jul 200811 Jul 2008

Publication series

NameProceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008

Conference

Conference2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Country/TerritoryAustralia
CitySydney, NSW
Period8/07/0811/07/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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