文献类型：期刊文献

英文题名：Color license plate localization algorithm research based on moiré principle analysis

作者：Zhu, Shanhong[1,2]

第一作者：朱珊虹

通讯作者：Zhu, Shanhong

机构：[1] School of Computer and Information Engineering, Xinxiang University, Henan, China; [2] School of Art and Design, Xinxiang University, Henan, China

第一机构：新乡学院计算机与信息工程学院

年份：2014

卷号：6

期号：5

起止页码：706-709

外文期刊名：Journal of Chemical and Pharmaceutical Research

收录：EI(收录号：20143900070232);Scopus(收录号：2-s2.0-84907103938)

语种：英文

外文关键词：Color - Image texture - License plates (automobile) - Textures - Wavelet decomposition

摘要：The traditional license plate localization algorithm uses the gray image texture feature, the texture feature of gray image features and limitations bring great difficulty in getting a license plate localization algorithm. In view of this, the color of license plate localization algorithm based on the moiré principle is proposed. Firstly, two-dimensional wavelet decomposition for image, sliding windows is small ripple bedding features of images; And at the same time convert low-frequency subgraph RGB color components as HSV color value, extract color feature, and get a comprehensive feature vector; Secondly, wavelet variations positioning license plate area; Finally to locate the license plate positioning results of late correction processing and output. The algorithm adopts the comprehensive characteristics of localization, overcomes the drawback of using single feature localization and limitations, an can be seen from the results of this algorithm can accurately extract the license plate location information from the background image. ? 2014, Journal of Chemical and Pharmaceutical Research. All rights reserved.