Face Recognition System by Integrating PCA, FLDA, Artificial Neural Networks and Minimum Euclidean Distance

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Provided by: International Journal of Engineering Trends and Technology
Topic: Software
Format: PDF
Intensive works has been performed over the topic of face recognition from the subject of computer vision and pattern recognition. Face recognition system works on the clue of the face geometry. Over several facial expressions; face recognition system gets an argumentative effect on the recognition process. Principal component analysis is being utilized as the most common feature extraction techniques in face recognition. It has been extensively employed for face identification. The face recognition system functions by projecting face image onto a characteristic space.
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