期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：9
页码：4390
出版社：S&S Publications
摘要：In This paper presents a efficient texture based recognition on multi scale local binary pattern (LBP) texture features .It's a simple and fast for implementation, To extract useful representative features, "uniform" LBP was proposed and its effectiveness has been evaluated. However, all "non-uniform" patterns are grouped into one pattern, so a lot of useful information is lost. In this stud y, propose to build a modified multiscale LBP histogram for a palmprint image. The palmprint image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a image descriptor. The useful information of "no n-uniform" patterns at large scale is dug out from its counterpart of small scale; the performance of the proposed method is that it can be fully utilize LBP features. Other applications and several extensions are also discussed.
关键词：Facial image representation; local binary pattern; multiscale; component based face recognition; texture ; features; face misalignment
