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Research Journal of Information Technology
  Year: 2013 | Volume: 5 | Issue: 2 | Page No.: 200-208
DOI: 10.3923/rjit.2013.200.208
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AAAM-face Based Authentication System for Information Security

N.R. Raajan, M.V. Priya, S. Shiva Prasad and R. Rakesh

Information security plays a vital role in many applications where the millions of people access and share their data. The advancement in technology leads us to the accurate prediction of output; this advancement can be attained in 3D face recognition using AAAM technique. This paper deals with Alternative Advanced Active Appearance Models (AAAM) method of 3D face recognition. For better results more accurate localisation of facial features are necessary, this is achieved using our technique (AAAM). It makes use of the reference points obtain from one image or image sequence, thus it can be used for a range of face image interpretation. By using stereoscopy we can obtain the depth map through which the recognition is highly accurate and efficient.
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  •    Principal Component Analysis of Directional Images for Face Recognition
  •    Multi-channel Gabor Face Recognition Based on Area Selection
  •    Classification using Adaptive Multiscale Retinex and Support Vector Machine for Face Recognition System
  •    Comparative Study of Statistical Skin Detection Algorithms for Sub-Continental Human Images
How to cite this article:

N.R. Raajan, M.V. Priya, S. Shiva Prasad and R. Rakesh, 2013. AAAM-face Based Authentication System for Information Security. Research Journal of Information Technology, 5: 200-208.

DOI: 10.3923/rjit.2013.200.208






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