期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：9
出版社：Journal of Theoretical and Applied
摘要：Face recognition plays a challenging role in the field of image processing. Though one of its benefit is that the person can easily be identified among the crowd through face recognition, but it has several issues that need to be overcome such as facial expressions, ageing, occlusion etc. Face recognition method can only be entertained, if it can identify the face correctly. Global features (DWT, PCA) and point based features (Harris corner, SURF) both are considered to create a fusion based system for automatic face recognition. Accuracy, sensitivity and precision are the performance evaluation parameters are evaluated. The comparative study of various standard and conventional feature extraction techniques is carried out in this paper in order to decide which approach is more suitable for accurate face recognition. Fusion based approach gives 99.4 percent accuracy.
