NEURAL NETWORK & GENETIC ALGORITHM BASED FACE RECOGNITION SYSTEM
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2012, Vol 1, Issue 5
Abstract
Facial image analysis plays a significant role for human computer interaction. Automatic analysis of human face is still a challenging and emerging problem with many applications. In this paper, we proposed a neural network and genetic algorithm based face recognition system to recognize and verify the person from a digital image. This paper shows the advantages of using Neural network along with Genetic Algorithm for face recognition system. The neural network has the ability to adapt to unknown situations & it trains itself by learning through datasets and is fault tolerant while the Genetic algorithm is an optimization technique used in computing to find the exact or approximate solutions. It handles large & poorly understood search spaces easily and handles noisy functions well. The proposed system consists of three basic steps which automatically detect the human face image using BPNN, the feature extraction based on a fusion approach of different techniques like PCA,LDA,LBA, KDDA and face recognition will be performed based on BPNN and GA. The dimensionality of face image will be reduced by the fusion extraction block and the recognition will be done by the combined BPNN and GA for efficient and robust face recognition.
Authors and Affiliations
Lalit P. Bhaiya, Vivek Pali
Keywords
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