Learning-based license plate detection in vehicle image database. (21st August 2007)

• Record Type: Journal Article
• Authors: Zhang, Huaifeng; Jia, Wenjing; He, Xiangjian; Wu, Qiang
• Is Part Of: International journal of intelligent information and database systems. Volume 1:Number 2(2007)
• Page Start: 228
• Page End: 243
• Publication Date: 2007-08-21
• Subjects: content-based image retrieval -- CBIR -- vehicle image databases -- license plate detection -- AdaBoost -- cascade classifiers -- vehicle license plates -- learning algorithms -- image processing; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

This paper proposes a learning-based algorithm to detect license plates of vehicles from vehicle image database. There are three main contributions in this paper. The first contribution is to define a novel vertical edge map, which makes the image processing more effectively. The second contribution is to propose a learning-based cascade classifier composing of two kinds of sub-classifiers, which makes the system very robust. The third contribution is to experimentally estimate the parameter of scaling factor and chose an optimal one for the algorithm to seek a good balance between detection rate and processing time.