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
fDate :
8/19/1999 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19990977
