ABSTRACT
Personal Identification based on face recognition is receiving extensive attention over the last few years in both
research and real time applications due to increasing emphasis on security. In this paper, Face Recognition based
on Stationary Wavelet Transform (SWT), Discrete Cosine Transform (DCT) and Local Ternary Pattern (LTP) is
presented. Face images are resized. SWT and DCT are applied on face images to produce features. LTP is
applied on SWT features. SWT, DCT and LTP features are concatenated to get final features. Features of test
and database images are compared using Euclidean distance. It is found that Total Success Rate of the proposed
system is better than existing systems.
Keywords: - Face identification, Stationary Wavelet Transform, Discrete Cosine Transform, Local Ternary
Pattern, Success Rate.