Abstract

Face recognition is a method which identifies a person based on the profile or features of the face of that person. LBPH (Local Binary Patterns Histogram) is a method to detect and recognize the face of a person. In LBP, first, some portion of an image which is in grayscale is taken as 3×3 window size and the pixel value of neighborhood is compared with the central pixel value and then the binary value is assigned which is then converted to a decimal value. LBP is then combined with histograms and so is called an LBPH algorithm. GPU (Graphics Processing Unit) is an electronic circuit which is more powerful than CPU (Central Processing Unit). In this paper, a frontal face and side profile face recognition using LBPH algorithm are implemented on GPU. The performance of the CPU and GPU are then compared.

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