Optimization of Face Recognition Algorithms for Smartphone Environment

Abstract

The face recognition algorithm has been investigated as a robust solution for biometric authentication. It is used in a wide range of applications such as surveillance, access control, airport immigration system and application of user recognition in a smartphone, etc. (The security of face recognition system can be trusted, because they were used unique biometric data) Face recognition system tends to give a higher degree of recognition performance only when image acquisition process was restricted environment. In this paper, we explore face detection and face recognition algorithms for smartphone environment. The basic requirements include appropriate data format and collection of feature data to achieve efficiency of algorithm. Our experiment presents a face detection and recognition algorithm for smartphone environment. The essential part for proposed system includes; (1) integer representation from floating point calculation on desktop computer and smartphone, (2) optimization of memory management scheme and (3) efficient face detection performance on complex background scene by Modified Census Transform.