Title :
Face recognition algorithm combined with DCT, PCA and BPNN
Author :
Guoliang Yang ; Lina Xu
Author_Institution :
Sch. of Electr. Eng. & Autom., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Abstract :
This paper provides an integrated algorithm to deal with face recognition. It uses discrete cosine transform and principal component analysis to reduce dimensions and extract face features, and then trains and tests face images through the BP neural network classifier. It also seeks for other method such as the nearest neighbor classifier to have a comparison with BP neural network. Simulation result shows the effectiveness of this algorithm.
Keywords :
backpropagation; discrete cosine transforms; face recognition; feature extraction; neural nets; principal component analysis; BP neural network classifier; BPNN; DCT; PCA; discrete cosine transform; face recognition; feature extraction; nearest neighbor classifier; principal component analysis; Algorithm design and analysis; Biological neural networks; Discrete cosine transforms; Face; Face recognition; Feature extraction; Training;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463254
