@inproceedings{9032bc5b6d184cd4ab64b549735bf573,
title = "Notice of Retraction: Research on the recognition algorithm of the license plate character based on the multi-resolution template matching",
abstract = "Most methods of the tradition character reorganization are based on JPEG and the classifier and then matching with the templates. Due to the environmental of plate with large noise plate and interference factors, the accuracy of this method is relatively low. In this paper, based on the analysis of the traditional method of the character recognition, it uses wavelet processing for image pre-processing, and then carry out template matching under different multi-resolutions. Experiments show that this method can effectively solve the shortcomings of traditional methods to improve the accuracy of character recognition.",
keywords = "Character reorganization, Multiresolution, Temple match, Wavelet",
author = "Xiaoping Li and Xiaoxing Lv and Shuaizong Wang and Lin Zhang and Yinxiang Li and Hongjian Dong",
year = "2010",
language = "English",
isbn = "9788988678183",
series = "NISS2010 - 4th International Conference on New Trends in Information Science and Service Science",
publisher = "IEEE Computer Society",
pages = "341--344",
booktitle = "NISS2010 - 4th International Conference on New Trends in Information Science and Service Science",
address = "United States",
}