Title :
License plate detection algorithm based on gentle AdaBoost algorithm with a cascade structure
Author :
Cui, Dong ; Gu, Dongbing ; Cai, Hua ; Sun, Junxi
Author_Institution :
Sch. of Electron. & Inf. Eng., Changchun Univ. of Sci. & Technol., Changchun, China
Abstract :
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.
Keywords :
learning (artificial intelligence); object detection; object recognition; traffic engineering computing; automatic license plate recognition technology; cascade structure; discrete AdaBoost algorithm; gentle AdaBoost algorithm; image processing techniques; license plate detection algorithm; Biomimetics; Detection algorithms; Humans; Image processing; Licenses; Member and Geographic Activities Board committees; Pattern classification; Robotics and automation; Sun; Testing;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
DOI :
10.1109/ROBIO.2009.5420532
