Title :
A Fast License Plate Segmentation and Recognition Method Based on the Modified Template Matching
Author :
Jin Quan ; Quan, Jin ; Shi Ying ; Xue Zhihua
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Cincinnati, Cincinnati, OH, USA
Abstract :
Character segmentation is an important step in a LPR system, this paper presents a new method for character segmentation and recognition, correcting the image of license plate which uses the improved method of Hough transform, then employs the normalization method to segment the characters of the license plate and finally utilizes a modified template matching method to recognize the characters of the license plate. The result of the experiment shows that the method presented in the paper is easy and feasible, faster in recognizable speed, performs well in segmentation, and is valuable in practical application.
Keywords :
Hough transforms; automated highways; character recognition; image matching; image segmentation; Hough transform; character recognition; character segmentation; intelligent transport system; license plate recognition; license plate segmentation; normalization method; template matching; Automation; Cameras; Character recognition; Image recognition; Image segmentation; Licenses; Road vehicles; Statistics; Transforms; Vehicle driving;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5302020