@inproceedings{b9c0a5492c2242f78c851db0dc81a9bd,
title = "License plate character recognition based on framelet",
abstract = "In this paper, we work mainly on character recognition. First, we decompose the plate characters by framelet and select the transform coefficients using wrapper method as the character features, then send them to BP neural network for recognition. With our method, the recognition rate of letter characters reaches 99.25\%, the number characters reaches 99.3\%, the results illustrate that our method is better than wavelet method and is applicable.",
keywords = "BP neural network, Framelet, License plate character recognition",
author = "Fei Wu and Wang, \{Yong Ge\} and Hou, \{Xin Wen\}",
year = "2007",
doi = "10.1109/ICWAPR.2007.4420753",
language = "英语",
isbn = "1424410665",
series = "Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "673--676",
booktitle = "Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07",
address = "美国",
note = "2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 ; Conference date: 02-11-2007 Through 04-11-2007",
}