Locating car license plates using neural networks

Se Hyun Park, Kwang In Kim, Keechul Jung, Hang Joon Kim

Research output: Contribution to journalArticle

104 Citations (Scopus)

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
Original languageEnglish
Pages (from-to)1475-1477
Number of pages3
JournalElectronics Letters
Volume35
Issue number17
DOIs
Publication statusPublished - Aug 1999

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Park, S. H., Kim, K. I., Jung, K., & Kim, H. J. (1999). Locating car license plates using neural networks. Electronics Letters, 35(17), 1475-1477. https://doi.org/10.1049/el:19990977