License Plate Detection Algorithm Based on Gentle AdaBoost Algorithm with a Cascade Structure

摘要：

This paper aims at automatically detection of car license plates via image processing techniques. The method used is a so-called gentle AdaBoost algorithm which is combined with a cascade structure. The gentle AdaBoost (GAB) algorithm is known to have a higher detection rate and a lower false positive rate than the basic discrete AdaBoost (DAB) which is currently reported being used for the license plate detection. The use of a cascade structure in the gentle AdaBoost algorithm saves the computation time. Several testing results are provided and the comparisons with other algorithms are made.

作者: Dong Cui Dongbing Gu Hua Cai Junxi Sun

作者单位: School of Electronic and Information Engineering Changchun University of Science and Technology No.7 School of Compute Science and Electronic Engineering,University of Essex,Colchester,CO4 3SQ,UK

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1962-1966

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）