A HYBRID BIOMETRIC AUTHENTICATION ALGORITHM

Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2012, Vol 3, Issue 3

Abstract

 A facial recognition system is a computer based application for automatically 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 features, 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 algorithm 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

Authors and Affiliations

K. Kavitha1 Dr. K. Kuppusamy2

Keywords

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  • EP ID EP87309
  • DOI -
  • Views 169
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How To Cite

K. Kavitha1 Dr. K. Kuppusamy2 (2012).  A HYBRID BIOMETRIC AUTHENTICATION ALGORITHM. INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY, 3(3), 311-319. https://europub.co.uk/articles/-A-87309