Title :
An extraction algorithm of vehicle license plate numbers using pixel value projection and license plate calibration
Author :
Liu, Chen-Chung ; Luo, Zhi-Chun
Author_Institution :
Dept. of Electron. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan
Abstract :
Extracting the VLP number from a VLP image is considered to be one of the most important stages of vehicle license plate recognition (VLPR) system, it greatly influence the overall recognition accuracy and processing speed of the whole system. This paper presents an algorithm to extract the VLP number from the VLPs. The distorted VLPs are also studied to develop a transformation to calibrating the distorted VLPs into normalized VLPs. Using the distortion calibration technique, the VLP number in a distorted state can also be extracted more correctly. The experiment results show that the presented algorithm can effectively extract the VLP number even from a distorted VLP.
Keywords :
automobiles; distortion; feature extraction; pattern recognition; vehicles; distortion calibration technique; extraction algorithm; license plate calibration; pixel value projection; vehicle license plate numbers; Automatic control; Calibration; Control systems; Data security; Humans; Image recognition; Image segmentation; Intelligent transportation systems; Intelligent vehicles; Licenses; LPR; calibrate; character segmentation;
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
DOI :
10.1109/3CA.2010.5533838