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

fYear

2012

fDate

18-20 Oct. 2012

Firstpage

682

Lastpage

685

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-1743-6

Type

conf

DOI

10.1109/ICACI.2012.6463254

Filename

6463254

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=596672