DocumentCode
1268200
Title
Locating car license plates using neural networks
Author
Park, S.H. ; Kim, K.I. ; Jung, K. ; Kim, H.J.
Author_Institution
Dept. of Comput. Eng., Kyungpook Nat. Univ., Taegu, South Korea
Volume
35
Issue
17
fYear
1999
fDate
8/19/1999 12:00:00 AM
Firstpage
1475
Lastpage
1477
Abstract
The authors present a method for locating car license plates using neural networks. Neural networks are used as filters for analysing small windows of an image and deciding whether each window contains a license plate. A post-processor combines these filtered images and gives the final location of the license plates. The method offers robustness when dealing with noisy images. Tests with car images travelling on the road and at the entrance of a car park showed extraction rates of 99 and 97.5%, respectively. These results suggest that the proposed method works well with real-world situations
Keywords
feature extraction; image recognition; image segmentation; neural nets; car license plate location; car park; extraction rates; filters; image recognition; image segmentation; neural networks; noisy images; post-processor; real-world situations; robustness;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19990977
Filename
803624
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