文章基本信息

标题：ADVANCED SURVEY ON FACE RECOGNITION TECHNIQUES IN IMAGE PROCESSING
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作者：NEERAJ SINGLA ; SUGANDHA SHARMA
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：1
页码：092-098
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Face recognition from image is a popular topic in biometrics research. the face recognition have played an important role in surveillance system as it doesn't need the object's cooperation. The actual advantages of face based identification over othe r biometrics are uniqueness and acceptance. As human face is a dynamic object having high degree of variability in its appearance, that makes face detection a difficult problem in computer vision. In this field, accuracy and speed of identification is a main issue. The goal of this paper is to evaluate various face detection and recognition methods, provide complete solution for image based face detection and recognition with higher accuracy, better response rate as an initial step for video surveillance. Solution is proposed based on performed tests on various face rich databases in terms of subjects, pose, emotions, race and light.
关键词：Face Detection; Face Recognition; Biometrics; Face Identification; emotions