HMM-Based Face Recognition System with SVD Parameter IJTSRD


Today an increasing digital world, personal reliable authentication has become an important human Computer interface activity. It is very important to establish a person’s identity. In today existing security mainly depends on passwords, swipe cards or token based approach and attitude to control access to physical and virtual spaces passport. Universal, such as methods, although very secure. Such as tokens, badges and access cards can be shared or stolen. Passwords and PIN numbers can be also stolen electronically. In addition, they cannot distinguish between authentic have access to or knowledge of the user and tokens. To make a system more secure and simple with the use of biometric authentication system such as face and hand gesture recognition for personal authentication. So in this paper, A Hidden Markov Model (HMM) based face recognition system using Singular Value Decomposition (SVD) is proposed.

By Neha Rana | Bhavna Pancholi”HMM-Based Face Recognition System with SVD Parameter”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd12938.pdf

http://www.ijtsrd.com/engineering/electrical-engineering/12938/hmm-based-face-recognition-system-with-svd-parameter/neha-rana

call for paper Computer Engineering, international journal Mechanical Engineering, ugc approved journals for engineering




HMM-Based Face Recognition System with SVD Parameter IJTSRD IEEE PAPER





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