Title :
Face recognition based on improved Euclid norm
Author :
Wen-Ming, Cao ; Yuan, Yuan ; Wei-Wei, Cai ; Shou-Jue, Wang
Author_Institution :
Zhejiang Univ., Hangzhou, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
In this paper, we propose a new face recognition algorithm based on improved Euclid norm. The method, compared with conventional algorithm, has an improved recognition rate for face images with large variation in lighting direction. Testing our system on Yale face database, the recognition rate is 98.8%, which proves the face recognition algorithm is efficient.
Keywords :
face recognition; principal component analysis; visual databases; Euclid norm; Yale face database; face recognition algorithm; principal component algorithm; Artificial neural networks; Covariance matrix; Credit cards; Face recognition; Humans; Image databases; Image recognition; Nearest neighbor searches; Principal component analysis; Testing;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441473
