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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 identi fication involves identification of the vehicle itself, such as by recognition of the license plate on the vehicle. License plate recognition can have many applications, such as conventional traffic volume measurements, vehicle identifica tion for charging purposes on toll roads, the determination of in-contract vehicles in parking garages, and monitoring the arrival of specific vehicles. For these applications, the authors have developed a sensing method that produces little wobbling of captured images of moving vehicles and generates halation-free images under wide-ranging envi ronmental conditions from bright direct sunlight to poorly illuminated conditions at night. 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. The experimental sensing device is capable of shooting scenes with a dynamic range of 1.5 u 10 at a shutter speed of 1/1000 second. Simultaneously, a license plate recognition method was developed. 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. © 2000 Scripta Technica, Syst Comp Jpn, 31(11): 8291, 2000

Moving-vehicle license plate recognition method robust to changes in lighting conditions