文章基本信息

标题：An Efficient Approach to Face Recognition Using a Modified Center-Symmetric Local Binary Pattern (MCS-LBP)
本地全文：下载
作者：Anusha Alapati ; Dae-Seong Kang
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2015
卷号：10
期号：8
页码：13-22
DOI：10.14257/ijmue.2015.10.8.02
出版社：SERSC
摘要：In this paper, we present a novel face recognition method called Multi-scale block Center-Symmetric Local Binary Pattern (MCS-LBP). The face recognition process mainly consists of three phase: face representation, feature extraction, and classification. However, the most important phase is extraction, in which unique features of the face image are extracted. The Center-Symmetric Local Binary Pattern (CS-LBP) feature can be viewed as a combination of texture-based features and gradient-based features. However, it has less dimensional area; the bit-wise comparison made between two single pixel values is significantly affected by noise and sensitive to image translation and rotation. To address this problem, we present a modified feature called MCS-LBP. Instead of individual pixels, in the modified CS-LBP, the comparison is performed based on average gray values of sub-regions. Hence, it provides more complete representation than the Local Binary Pattern (LBP) and CS-LBP operator. Experiments demonstrate the proposed method.
关键词：Face recognition; Center-symmetric Local Binary Pattern (CS-LBP); ; Feature extraction; Multi-scale block Center-Symmetric Local Binary Pattern (MCS- ; LBP)