HMM-SVD based Face Recognition and Hand Gesture analysis system

  Neha Rana,  Bhavna Pancholi

Now a day in increasing digital world, personal reliable authentication has become an important human computer interface activity. It is very important to establish a person's identity. Today existing security mainly depends on passwords, swipe cards or token based and attitude to con-trol access to physical and virtual spaces passport. 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. So 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, which have approximately 99% of recognition rate. Here by using skin segmentation perform hand gesture analysis.

Keywords- Face Recognition, Hidden Markov Model (HMM), Singular Value Decomposition (SVD)

Unique Identification Number - IJEDR1803017
Page Number(s) - 91-96
Pubished in - Volume 6 | Issue 3 | July 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Neha Rana,  Bhavna Pancholi,   "HMM-SVD based Face Recognition and Hand Gesture analysis system", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.91-96, July 2018, Available at :http://www.ijedr.org/papers/IJEDR1803017.pdf