期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：11
页码：4091-4095
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Use of biometrics and widespread acceptability for person authentication has instigated several techniques. There are many techniques people use to evade their identification. Plastic surgery is one of them. Plastic surgery is surgical procedure to improve the appearance of the face. In this paper, the extraction of robust features based on granular computation approach and hybrid spatial descriptors is done to recognize surgically altered faces for authentication. The results which are obtained from this identification can be used for authentication of person. Here granular computing based on Gaussian operator and spatial features are presented to match face images before and after plastic surgery. In feature extraction stage, Weber’s local descriptors and Gabor filter bank is used to characterize the face appearance. These combined features are useful to distinguish the maximum number of samples accurately and it is matched with already stored original face samples for identifiction. The MATLAB software is used for this technique.
关键词：Plastic Surgery; Face Recognition; Face Detection; Face Granulation; Face Extraction
