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Vehicle License Plate Recognition Method Robuse to Changes in Lighting Conditions  

Nam, Kee-Hwan (관동대학교)
Bae, Cheol-Soo (관동대학교)
Abstract
The process of recognizing a vehicle involves detection of the vehicle, recognition of the vehicle model, and identification of the vehicle. The process of vehicle identification involves identification of the vehicle itself, such as by recognition of the license plate on the vehicle. In this paper the method involves the use of a beam splitter to divide incident rays into two directions, a transmitted beam and a reflected beam of different light intensities, and synthesizing two captured images using CCD devices from each beam, thus producing fluctuation-free images of a wide dynamic range even when the subject is moving. A prototype license plate recognition system was also developed using the experimental sensing device. The system achieved a 98.7% recognition rate on 466 images of moving vehicles, which demonstrates its effectiveness as a license plate recognition system.
Keywords
License plate recognition; image processing; dynamic range; camera;
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  • Reference
1 Inagaki O, Fukuda H, Miyahara H, Ueshima O, Kakinuma M. A wide dynamic range camera. Proc Second Image Sensing Symp, p 151-154, 1996
2 Fujiyoshi H, Umesaki T, Imamura T, Kaneide T. Detection of license plate positions through the use of neural networks. Trans lEICE 1997;J70-DII: 1627-1634
3 Kanayama K. Real-time image processing for vehicle recognition by reading license plates. Sensor Technol 1991;11:52-58
4 Yamaguchi M, Kato K, Mitani M, Hineyatani T. Development of a license plate reading apparatus for the measurement of travel time. Sumitomo Electr 1991;139:8-13
5 Kanayama K. Increasing the speed of license plate regions by using a vehicle number recognition system architecture and the Taguchi method. Trans lEICE 1989;J72D- II:873-879
6 Akoi T, Nakajima M. Research into the extraction of license plate regions using image processing. Trans lEICE 1987;J70-D: 560-566
7 Intelligent Traffic Measurement and Survey Committee. Intelligent traffic measurement. Tech Rep Soc Electr 1994;512
8 Nagano K, Miyamoto K, Tamagawa M, Iida Y, Fujita L. Application of image pro cessing and pattern recognition: Recognition of vehicle numbers. Mitsubishi Heavy Ind Tech Rep 1991;28