Analysis and Design of Principal Component Analysis and Hidden Markov Model for Face Recognition-Reference-Cited by-同舟云学术

Analysis and Design of Principal Component Analysis and Hidden Markov Model for Face Recognition

Published:2015 Issue: Volume:10 Page:616-625
ISSN:2211-8128
Container-title:Procedia Materials Science
language:en
Short-container-title:Procedia Materials Science

Author:

Kumar D.S. Dinesh,Rao P.V.

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference20 articles.

1. Faten Bellakhdhar , Kais Loukil, “Face Recognition Approach using Gabor Wavelets, PCA and SVM”, in IJCSI International Jounal of Computer Science Issues,Vol 10, Issue 2, No 3, March 2013.

2. Sangeeta Kakarwal, Ratnadeep Deshmukh, “Wavelet Transform based Feature Extraction for Face Recognition”, in International Journal of Computer Science and Application Issue 2010.

3. Changhan Park, Joonki Paik,”Multi-Modal Human Verification Using Face and Speech”,in ISBN 978-3-902613-03-5,I-Tech,Vienna, Austria,June 2007.

4. Eshwarappa M.N, Dr. Mrityunjaya V. Latte,”Multimodal Biometric Person Authentication using Speech, Signature and Handwriting Features”,in International Journal of Advanced Computer Science and Applications, Special Issues on Artificial Intelligence.

5. S. Palanivel, B. Yegnanarayana, “Multimodal person Authentication using Speech, Face and Visual speech”, in Computer Vision and Image understanding, 20 January 2007.

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