Research Article
An Efficient Human Identification on the Biometric Gait Recognition System using the Inner Angle of the Triangle
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 136 - Issue 13 |
| Published: February 2016 |
| Authors: Monika Jhapate, Mukesh Dixit |
10.5120/ijca2016908451
|
Monika Jhapate, Mukesh Dixit . An Efficient Human Identification on the Biometric Gait Recognition System using the Inner Angle of the Triangle. International Journal of Computer Applications. 136, 13 (February 2016), 19-22. DOI=10.5120/ijca2016908451
@article{ 10.5120/ijca2016908451,
author = { Monika Jhapate,Mukesh Dixit },
title = { An Efficient Human Identification on the Biometric Gait Recognition System using the Inner Angle of the Triangle },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 136 },
number = { 13 },
pages = { 19-22 },
doi = { 10.5120/ijca2016908451 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Monika Jhapate
%A Mukesh Dixit
%T An Efficient Human Identification on the Biometric Gait Recognition System using the Inner Angle of the Triangle%T
%J International Journal of Computer Applications
%V 136
%N 13
%P 19-22
%R 10.5120/ijca2016908451
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Gait based human recognition system is most important and attractive method of biometrics. Gait the way of walking capture from distance and provide more efficient means of verification. In this paper, we propose an efficient algorithm which works on angle based technique. Initially video converted into frames and then feature abstraction is done. Here we are taking three lower body parts for recognition and a correlation of triangle is derived. Using cosine formula each inner angle of triangle is calculated and stored in database for identification. The gait system is designed using MATLAB to accomplish this research work.
References
- Jyoti Bharti, M. K. Gupta, “Gait Recognition with Geometric Characteristic and Fuzzy Logic”, Canadian Journal on Image Processing and Computer Vision Vol. 3 No. 1, March 2012.
- Xuelong Li, Stephen J. Maybank,Shuicheng Yan, Dacheng Ta, and Dong Xu,”Gait Components and TheirApplication to Gender Recognition”, IEEE Transactions on Systems, Man, and Cybernetics, Part C Applications and Reviews, vol. 38, no. 2, March 20.
- D.M.Gavrila, The visual analysis of human movement: a survey, Computer Vision and Image Understanding, Vol. 73, no.1, January, pp.82-98, 1999.
- AI-Hua Wang, ji-Wei Liu, A gait recognition method based on positioning human body joints, proceedings of the 2007 international conference on wavelet analysis and pattern recognition, Beijing, China, 2-4 Nov, 2007.
- Arun Kumar Jhapate, Jasvinder Pal Singh, Gait Based Human Recognition System using Single Triangle IJCST Vol. 2, Issue 2, June 2011 ISSN : 2229 - 4 33 ( Print ) | ISSN : 0976-8491 (Online )
- Jasvinder Pal Singh, Sanjay Agrawal, An approach for human gait identification based on area, IOSR Journal of Computer Engineering (IOSR-JCE) e-SSN: 2278-0661, p- ISSN: 2278-8727Volume 10, Issue 3 (Mar. - Apr. 2013), PP 43-47.
- Mr. Atul Raghuwanshi Mr. Jayesh Surana, A Novel Method of Gait Recognition Using Fuzzy Inference System, International Journal Of Research In Advance Technology In Engineering (IJRATE) Volume 2, Issue 3, June 2014, ISSN: 2347 – 7806.
- Nikolaos V. Boulgouris, Dimitrios Hatzinakos, and Konstantinos N. Plataniotis, A challenging signal processing technology for biometric identification, IEEE Signal Processing Magazine,Vol-22, No- 6 pp 78-90, November 2005.
- James R. Gage, Peter A. Deluca, Thomas S. Renshaw, Gait Analysis Principles and Applications, The Journal of bone and joint surgery, vol. 77,1607-1623, 1995.
- Xuelong Li, Stephen j. Maybank, switching Yan, dancing too, and Dong Xu, gait components and their application to gender recognition, IEEE transactions on systems, man, and cybernetics—part c: applications and reviews, vol. 38, no. 2, march 2008.
- Ryuhei Okuno, Satoshi Fujimoto, Jun Akazawa, Masaru Yokoe, Saburo Sakoda and Kenzo Akazawa, 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008.
Index Terms
Keywords