This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
HMM-SVD based Face Recognition and Hand Gesture analysis system
Authors
  Neha Rana,  Bhavna Pancholi
Abstract
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)
Publication Details
Unique Identification Number - IJEDR1803017Page Number(s) - 91-96Pubished in - Volume 6 | Issue 3 | July 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  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
Article Preview
|
|
||||||
|