This paper presents a novel method of real-time recognizing the vehicle license based on the integrated modularized neural network. Some locations in the license plate contain Arabic numeral only and the others'contain Arabic numeral, English letter or Chinese character. According to the complexity, the two kinds of network structures, ωi/ωj and ωi/ωj, are: organized and the outputs are integrated under the given fuzzy rules to perform the recognition tasks. The results of the experiments have shown that this method can recognize the characters quickly and accurately. © Springer-Verlag 2004.
CITATION STYLE
Ji, G., Yi, H., Qin, B., & Xü, H. (2004). The recognition of the vehicle ’license plate based on modular networks. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3173, 1015–1020. https://doi.org/10.1007/978-3-540-28647-9_167
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