Title :
Research on License Plate Detection Based on Salient Feature under Complex Background
Author :
Yang Qun-Wei ; Yang Chen-Hui ; Li Cui-hua ; Wang Han-Zi
Author_Institution :
CS Dept., XIAMEN Univ., Xiamen, China
Abstract :
For plate detection, we found that when the plate is disturbed by complex upright borderlines, location can be inaccurate or even missed. On the basis of this, a new vehicle license plate location algorithm based on salient feature is introduced. It makes use of the texture feature, geometric characteristics and color information. By raw location and precise location, it can quickly locate the license plate position accurately and distinguishes the color type. Our experiment results show that this algorithm has a fast, efficient performance of locating vehicle license plate under complex background.
Keywords :
computational geometry; image colour analysis; image texture; object detection; traffic engineering computing; color information; complex background; complex upright borderlines; geometric characteristics; salient feature; texture feature; vehicle license plate location algorithm; Feature extraction; Geometry; Image color analysis; Image edge detection; Licenses; Noise; Search problems; complex background; feature saliency; license plate detection;
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
DOI :
10.1109/ICIG.2011.59