Title :
Face recognition approach based on two-dimensional subspace analysis and PNN
Author :
Mohamed, B. ; Mohamed, Salina
Author_Institution :
Algeria Dept. Inf. & Math., Univ. of ORAN, Oran, Algeria
Abstract :
In this paper, we 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. The technique 2D-DWT is used to eliminate the illumination, noise and redundancy of a face in order to reduce calculations of the probabilistic neural network operations.
Keywords :
discrete wavelet transforms; face recognition; neural nets; principal component analysis; probability; DWT-2DLDA; DWT-2DPCA; PNN; face recognition approach; feature extraction methods; probabilistic neural networks; two-dimensional subspace analysis; Databases; Face; Face recognition; Feature extraction; Principal component analysis; Training; Vectors; 2DLDA; 2DPCA; DWT; PNN; biometric; face recognition;
Conference_Titel :
Programming and Systems (ISPS), 2013 11th International Symposium on
Conference_Location :
Algiers
Print_ISBN :
978-1-4799-1152-3
DOI :
10.1109/ISPS.2013.6581496
