A Novel Method for Home Security by Face Recognition system to visually Impaired

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-57 Number-2
Year of Publication : 2018
Authors : Soppari Kavitha , Illuri Kalyan Kumar, Dandiveni nakul Kumar
DOI :  10.14445/22312803/IJCTT-V57P115

MLA

Soppari Kavitha , Illuri Kalyan Kumar, Dandiveni nakul Kumar,"A Novel Method for Home Security by Face Recognition system to visually Impaired". International Journal of Computer Trends and Technology (IJCTT) V57(2):80-83, March 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract
The World Health Organization estimated that about 285 million people are suffering from visual disability, of whom 39 million are blind, resulting in 0.7% of the world population. Computer vision techniques and image analysis can help visually-impaired people to over come their disability. In this paper it is proposed to detect the face of a visitor at the door. The methodology will detect the faces and recognize the persons robustly and discriminated between the trusted(known) and un-trusted(unknown) faces. This technique is used for security purpose of visually disabled individual present alone at the home. This technique will make a decision whether to allow the trusted or to alert the guardian about the un-trusted . An attempt is made in this paper to develop a home security system by face recognition to aid visually impaired using a proper microcontroller(Raspberry pi 3 model b). The information provided to the guardian is composed of the name of the person identified. This information is provided by means of a text or speech.

References
[1] GPU Based Face Recognition System for Authentication [Bhumika Agrawal, Chelsi Gupta, Meghna Mandloi, Divya Dwivedi, Jayesh Surana]
[2] Image-based Face Detection and Recognition: based Face Detection and Recognition: based Face Detection and Recognition: “State of the A “State of the Art” [Faizan Ahmad , Aaima Najam and Zeeshan Ahmed]
[3] Automatic Locking Door Using Face Recognition [Ishaan Sathe, Chiman Patel, Prasad Mahajan, Tanmay Telang, Sejal Shah]
[4] Evaluation of Haar Cascade Classifiers Designed for Face Detection [R. Padilla, C. F. F. Costa Filho and M. G. F. Costa]
[5] S. Q. Wu, L. Z. Wei, Z. J. Fang, R. W. Li, and X. Q. Ye: Infrared face recognition based on blood perfusion and sub-block DCT in wavelet domain, Conference on Wavelet Analysis and Pattern Recognition, Volume 3, pp: 1252 – 1256(2007).
[6] International Journal of Computer Trends and Technology (IJCTT) – Volume 57 Issue 2- Month 2018 ISSN: 2231-2803 http://www.ijcttjournal.org Page 83
[7] “FEATURE EXTRACTION FOR IMAGE UNDERSTANDING IN CPODW” XIAO-QING XIA, ZHEN-MING FENGProceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, 19-22 August 2007, -4244-0973-X/07/$25.00 ©2007 IEEE [8] “ The Trustworthy Digital Camera: Restoring Credibility to the Photographic Image”, Friedman G L, IEEE Trans on Consumer Electron, Vol. 39, No. 10, pp. 905-910, 1993.

Keywords
Face recognition, HAAR transformation, IOT, Rasberry PI