Moving‐vehicle license plate recognition method robust to changes in lighting conditions
Identifieur interne : 001D37 ( Main/Exploration ); précédent : 001D36; suivant : 001D38Moving‐vehicle license plate recognition method robust to changes in lighting conditions
Auteurs : Takashi Naito ; Toshihiko Tsukada ; Kei Chi Yamada ; Shin YamamotoSource :
- Systems and Computers in Japan [ 0882-1666 ] ; 2000-10.
English descriptors
- KwdEn :
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. License plate recognition can have many applications, such as conventional traffic volume measurements, vehicle identification 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 environmental 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 × 104 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
Url:
DOI: 10.1002/1520-684X(200010)31:11<82::AID-SCJ9>3.0.CO;2-X
Affiliations:
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Comp. Jpn.</title><idno type="ISSN">0882-1666</idno><idno type="eISSN">1520-684X</idno><imprint><publisher>John Wiley & Sons, Inc.</publisher><pubPlace>New York</pubPlace><date type="published" when="2000-10">2000-10</date><biblScope unit="volume">31</biblScope><biblScope unit="issue">11</biblScope><biblScope unit="page" from="82">82</biblScope><biblScope unit="page" to="91">91</biblScope></imprint><idno type="ISSN">0882-1666</idno></series><idno type="istex">C1B07C568A19005F7CD3A4D91A4D4B4CFBC07DF4</idno><idno type="DOI">10.1002/1520-684X(200010)31:11<82::AID-SCJ9>3.0.CO;2-X</idno><idno type="ArticleID">SCJ9</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0882-1666</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>character recognition</term><term>dynamic range camera</term><term>high‐speed shooting</term><term>image processing</term><term>license plate recognition</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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. License plate recognition can have many applications, such as conventional traffic volume measurements, vehicle identification 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 environmental 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 × 104 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</div></front></TEI><affiliations><list></list><tree><noCountry><name sortKey="Naito, Takashi" sort="Naito, Takashi" uniqKey="Naito T" first="Takashi" last="Naito">Takashi Naito</name><name sortKey="Tsukada, Toshihiko" sort="Tsukada, Toshihiko" uniqKey="Tsukada T" first="Toshihiko" last="Tsukada">Toshihiko Tsukada</name><name sortKey="Yamada, Kei Chi" sort="Yamada, Kei Chi" uniqKey="Yamada K" first="Kei Chi" last="Yamada">Kei Chi Yamada</name><name sortKey="Yamamoto, Shin" sort="Yamamoto, Shin" uniqKey="Yamamoto S" first="Shin" last="Yamamoto">Shin Yamamoto</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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