Face Recognition Using Two-Dimensional Subspace Analysis and PNN

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
In this paper, the authors present an new approach to face recognition based on the combination of feature extraction methods, such as two-dimensional DWT-2DPCA and DWT-2DLDA, with a probabilistic neural networks. This later is used to classify the features matrix extracts for space data created by Two-dimensional Subspace Analysis .The technique 2D-DWT is used to eliminate the illumination, noise and redundancy of face in order to reduce calculations of the probabilistic neural network operations, and improve a face recognition system in accuracy and computation time.
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