Title :
Car license plates detection from complex scene
Author :
Gao, Da-shan ; Zhou, Jie
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
We present a novel approach to extract car license plate from complex image without a reading attempt. After an algorithm of segmentation, a series of candidate regions are obtained first. Then a confidence value based on the geometrical features of the license plates is given to each candidate region and merge operation under some rules is taken. Experimental results show that the algorithm is robust in dealing with different conditions such as poor illumination and distortion of image generated by different visual angle
Keywords :
Karhunen-Loeve transforms; automobiles; image recognition; image segmentation; lighting; object detection; road traffic; automatic image recognition; candidate regions; car license plates detection; complex scene; confidence value; distortion; geometrical features; illumination; image generation; merge operation; segmentation algorithm; traffic surveillance systems; visual angle; Character recognition; Histograms; Layout; Licenses; Lighting; Neural networks; Optical character recognition software; Optical distortion; Robustness; Shape;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891808
