期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2017
卷号：9
期号：08
页码：548-552
出版社：Engg Journals Publications
摘要：Face recognition has been found to be the minimally invasive method among the available biometric identification schemes. It aims to identify or verify a person�s identity by matching input face image against the faces in a database. It is one of the important research areas due to its large practical applications. Most of the systems could well handle the images captured under controlled situations. But practical face recognition systems have a number of challenges as the real world images are captured under uncontrolled environments. These challenges are due to variations in orientations, expressions, occlusions, illumination conditions and image resolutions. In this paper, different methods used for face recognition in challenging environments in the literature are summarized
关键词：Sparse based Classification; Face recognition in uncontrolled environments; Occlusion; Pose; Low resolution face images
