Abstract

Face recognition systems are very useful in many applications such as surveillance, biometrics and security. Principal Component Analysis (PCA) has also been used in some important applications, especially in pattern detection such as face detection and recognition. In real-time applications, response time must be as fast as possible. For this purpose, we propose a new PCA signcryption implementation for secure authentication by face detection based on the cross-correlation in the frequency domain between the input image and eigenvectors (weights). Simulation results demonstrated that our proposal is faster than the existingmethods. The experimental results for different images also show good performance. In this paper we proposed a face recognition system using the Principal Component Analysis Signcryption Algorithm (PCASA) within video steganography.

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