Face Recognition Using Sift Features

Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigning them to persons in a database. This paper proposes using SIFT features [4] for the recognition process. The new technique is compared with well-established face recognition algorithms, namely Eigenfaces [7] and Fisherfaces [6, 2]. The results show the superiority of the new method over these two methods, specially using smaller training sets.

• Type: Conference
• Year: 2009
• Where: ICIP
• Keywords: Face Images, ICIP 2009, Image Processing, Recognition Process, Well-established Face Recognition