Title :
Face recognition system with PCA and moment invariant method
Author :
Phiasai, T. ; Arunrungrusmi, Somchai ; Chamnongthai, K.
Author_Institution :
King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
This paper proposes the integration of moment invariant and PCA for varied-pose face recognition. Firstly, the global feature is extracted by PCA for determine the minimum error. If error less than threshold, system will accepts the classification result from PCA. On the other hand, the system will rejects and moment invariant is used to analyze the local face such as nose and eyes. In the experiments, ORL face database is used to perform the method yielded the recognition rate of 96%
Keywords :
face recognition; feature extraction; principal component analysis; 96 percent; ORL face database; eyes; face recognition; global feature; integration of moment invariant; minimum error; moment invariant method; nose; principal component analysis; recognition rate 96%; varied-pose face recognition; Data mining; Eyes; Face detection; Face recognition; Image analysis; Image databases; Information analysis; Nose; Principal component analysis; Spatial databases;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921033
