DocumentCode :
3364854
Title :
A Comparative Implementation of PCA Face Recognition Algorithm
Author :
Morizet, Nicolas ; Amiel, Frédéric ; Hamed, Insaf Dris ; Ea, Thomas
Author_Institution :
Inst. Superieur d´´Electron. de Paris, Paris
fYear :
2007
fDate :
11-14 Dec. 2007
Firstpage :
865
Lastpage :
868
Abstract :
This paper presents PCA algorithm used in face recognition system and its implementation on different architectures in order to choose the best solution for designing a real time face recognition system. Benchmarks and comparisons will be given for PC, DSP and FPGA and results will show that FPGA soft core is too slow for this computation. An IP solution is the best choice. But DSP is also a good compromise for implementing easily the algorithm and having acceptable processing time.
Keywords :
face recognition; principal component analysis; DSP; FPGA soft core; PCA face recognition algorithm; digital signal processing chip; field programmable gate arrays; principal component analysis; real time face recognition; Computer architecture; Covariance matrix; Digital signal processing; Eigenvalues and eigenfunctions; Face recognition; Field programmable gate arrays; Iris; Pixel; Principal component analysis; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-1377-5
Electronic_ISBN :
978-1-4244-1378-2
Type :
conf
DOI :
10.1109/ICECS.2007.4511128
Filename :
4511128
Link To Document :
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