Human face recognition has recently become one of the hottest topics in the area of pattern recognition due to its applications in identity validation and recognition. Moment Invariants are pattern sensitive features and are used in pattern recognition applications. In this paper different moment invariants have been used to extract features from human face images for recognition application. Moment invariants of Hu (HMI), Bamieh (BMI), Zernike (ZMI), Pseudo Zernike (PZMI), Teague-Zernike (TZMI), Normalized Zernike (NZMI) ,Normalized Pseudo Zernike (NPZMI) and also regular Moment Invariant (RMI) have been applied to the AT&T face database and the results have been compared. Our results show that pseudo Zernike moments yields the best recognition accuracy of 95%.
Human Face Recognition Using Different Moment Invariants: A Comparative Study
2008 Congress on Image and Signal Processing ; 3 ; 661-666
01.05.2008
533250 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Aircraft recognition in infrared image using wavelet moment invariants
British Library Online Contents | 2009
|Aircraft recognition in infrared image using wavelet moment invariants
Tema Archiv | 2009
|British Library Online Contents | 2010
|Moment invariants for recognition under changing viewpoint and illumination
British Library Online Contents | 2004
|Human action-recognition using mutual invariants
British Library Online Contents | 2005
|