ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2012 by IJETT Journal
Volume-3 Issue-3                          
Year of Publication : 2012
Authors :  K.Kavitha , Dr.K.Kuppusamy


K.Kavitha , Dr.K.Kuppusamy. "A HYBRID BIOMETRIC AUTHENTICATION ALGORITHM". International Journal of Engineering Trends and Technology (IJETT). V3(3):311-319 May-Jun 2012. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group


A facial recognition system is a computer based application for automaticall y identifying or verifying a person from a digital image . One of the ways to do this is by comparing the selected facial features from the image and a facial database . Some facial recognition algorithms identify faces by extracting landmarks, or fe atures, from an image of the subject`s face. The accurate face is detected by the position relation of the face and the eyes. A new approach is proposed to improve face recognition in the paper. The face features are extracted using the DCT and EHMM algori thm is used to recognize the face and the eyes. A transform domain approach with HMM for face recognition is presented. DCT transformed vectors of face images are used to train ergodic HMM and later for recognition


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face recognition, DCT,EHMM, Illumination, data generation, E - Voting.