Mar 2, 2016 - applications for password security systems in the areas such as ATM,. Jewelers .... gesture recognition for augmented desk interface systems.
3/2/2016
Design and Implementation of Non Touch Enabled Password System Springer
Chapter Proceedings of International Conference on ICT for Sustainable Development Volume 409 of the series Advances in Intelligent Systems and Computing pp 545553 Date: 26 February 2016
Design and Implementation of Non Touch Enabled Password System Monica Varia , Hardik Modi
Abstract In the field of virtual environment applications we are using mouse, keyboards, and so forth are the common controlling and directing devices. In the current age of technology, touch and non touch enabled technologies has prevailed over it. This paper presents a system where red color detection technology has been used which provides more a natural way of feeling of interacting with the devices. This work is an attempt to replace earliest devices to enter the input with the natural finger wrapped with red color tape by nontouching the screen. It displays the keypad on detection of red color. Keypad contains fundamental keys such as 0–9 digits, Delete, and All Clear key to enter the password. The system can be used in realtime applications for password security systems in the areas such as ATM, Jewelers Shop, Home Security, etc. This proposed system gain advantages of costeffectiveness, replacement of keyboard, and more preferable where space is scarce. It provides accuracy of 92 %.
Keywords Human machine interaction Non touch enable technology Red color detection Centroid ATM Jewelers shop Home security
http://link.springer.com/chapter/10.1007/9789811001352_53
1/5
3/2/2016
Design and Implementation of Non Touch Enabled Password System Springer
References 1. Chaudhary, A. (2014). Natural Computing: FingerStylus for Non TouchEnable Systems. arXiv: 1409. 3554 (http://arxiv.org/abs/1409.3554) . 2. Non Touch Enabled Technology. http:// www. cnet. com/ news/ touchlesstouch screengivesyoucontrolwithoutcontactvideo/ (http://www.cnet.com/news/touchless touchscreengivesyoucontrolwithoutcontactvideo/) . 3. Touchless Control Technology. https:// motorolaglobalportal. custhelp. com/ app/ answers/ p rod_ answer_ d etail/ a_ id/ 94881/ p / 30,6720,8696 (https://motorolaglobal portal.custhelp.com/app/answers/prod_answer_detail/a_id/94881/p/30%2c6720%2c8696) . 4. Monica, V., & Modi, H. (2014). Comprehensive study of non touch enable password system. Int. J. Adv. Res. Comput. Commun. Eng. 3(12), 8793–8796. 5. Kim, J. M., & Lee, W. K. (2008). Hand shape recognition using fingertips. In Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008. FSKD ‘08, vol. 4, pp. 44,48, October 18–20, 2008. 6. Morphological Functions. https:// www. cs. auckland. ac. nz/ courses/ compsci773s1c/ lectures/ ImageProcessinghtml/ topic4. htm (https://www.cs.auckland.ac.nz/courses/compsci773s1c/lectures/ImageProcessing html/topic4.htm) . 7. Morphological Functions. http:// www. p hon. u cl. ac. u k/ home/ d ick/ enc2010/ articles/ morphologicalfunction. htm (http://www.phon.ucl.ac.uk/home/dick/enc2010/articles/morphologicalfunction.htm) . 8. Image Segmentation. http:// en. wikipedia. org/ wiki/ Image_ segmentation (http://en.wikipedia.org/wiki/Image_segmentation) . 9. Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2004). Digital image processing using MATLAB. Upper Saddle River: Pearson Prentice Hall. 10. Hagara, M., & Pucik, J. (2013). Fingertip detection for virtual keyboard based on camera. In 23rd International Conference Radioelektronika (RADIOELEKTRONIKA), pp. 356,360, April 16–17, 2013. 11. Raheja, J.L., Chaudhary, A., & Singal, K., (2011). Tracking of Fingertips and Centers of Palm Using KINECT. In Third International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 pp. 248, 252, September 20–22, 2011. 12. Bragatto, T.A.C., Ruas, G.I.S., & Lamar, M.V. (2006). Realtime video based finger spelling recognition system using low computational complexity Artificial Neural Networks. Telecommunications Symposium, 2006 International, pp. 393, 397, September 3–6, 2006. 13. Sudderth, E.B., Mandel, M.I., Freeman, W.T., Willsky, A.S., Visual Hand Tracking Using Nonparametric Belief Propagation,” Computer Vision and Pattern Recognition Workshop, 2004. CVPRW’04. Conference on, vol., no., pp.189,189, 27–02 June 2004. 14. Tu, J., Huang, T., Hai Tao, “Face as mouse through visual face tracking,” Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on, vol., no., pp.339,346, 9–11 May 2005. 15. Chaudhary, A., Gupta, A., “Automated switching system for skin pixel segmentation in varied lighting,” Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference, vol., no., pp.26,31, 28–30 Nov. 2012. 16. Hsieh, C.C. Tsai, M.R., Su, M.C. (2008). A fingertip extraction method and its application to handwritten alphanumeric characters recognition. In IEEE International Conference on Signal Image Technology and Internet Based Systems, 2008. SITIS ‘08. pp. 293, 300, November 30–December 3, 2008. 17. Oka, K., Sato, Y., & Koike, H. (2002). Realtime fingertip tracking and gesture
http://link.springer.com/chapter/10.1007/9789811001352_53
2/5
3/2/2016
Design and Implementation of Non Touch Enabled Password System Springer
recognition. Computer Graphics and Applications, IEEE, 22(6), 64, 71. 18. Oka, K., Sato, Y., & Koike, H. (2002). Realtime tracking of multiple fingertips and gesture recognition for augmented desk interface systems. In Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, 2002. pp. 429, 434, May 21–21, 2002. 19. Wu, Y., & Huang, T.S. (2001). Hand modeling, analysis and recognition. Signal Processing MagazineIEEE 18(3), 51, 60. 20. Abe, K., Saito, H., & Ozawa, S. (2000). 3D drawing system via hand motion recognition from two cameras. IEEE International Conference on Systems, Man, and Cybernetics 2, 840,845. 21. Iwai, Y., Watanabe, K., Yagi, Y., & Yachida, M. (1996). Gesture recognition using colored gloves. In Proceedings of the 13th International Conference on Pattern Recognition 1, 662, 666, Auguest 25–29, 1996. 22. Sato, Y., Kobayashi, Y., & Koike, H. (2000). Fast tracking of hands and fingertips in infrared images for augmented desk interface. In Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 462, 467, 2000. 23. Password. http:// en. wikipedia. org/ wiki/ p assword (http://en.wikipedia.org/wiki/password) . 24. Jain, A.K. (1989). Fundamentals of digital image processing. PrenticeHall, New Jersey.
About this Chapter Title Design and Implementation of Non Touch Enabled Password System Book Title Proceedings of International Conference on ICT for Sustainable Development Book Subtitle ICT4SD 2015 Volume 2 Pages pp 545553 Copyright 2016 DOI 10.1007/9789811001352_53 Print ISBN 9789811001338 Online ISBN 9789811001352 Series Title Advances in Intelligent Systems and Computing Series Volume 409 Series ISSN 21945357 Publisher
http://link.springer.com/chapter/10.1007/9789811001352_53
3/5
3/2/2016
Design and Implementation of Non Touch Enabled Password System Springer
Springer Singapore Copyright Holder Springer Science+Business Media Singapore Additional Links About this Book Topics Computational Intelligence Data Mining and Knowledge Discovery ComputerAided Engineering (CAD, CAE) and Design Communications Engineering, Networks Innovation/Technology Management Keywords Human machine interaction Non touch enable technology Red color detection Centroid ATM Jewelers shop Home security Industry Sectors Materials & Steel Automotive Electronics IT & Software Telecommunications Consumer Packaged Goods Aerospace Oil, Gas & Geosciences Engineering Editors Suresh Chandra Satapathy (2) Amit Joshi (3) Nilesh Modi (4) Nisarg Pathak (5) Editor Affiliations 2. Dept of Comp. Sci. & Engg, Anil Neerukonda Inst of Tech and Science 3. Sabarkantha, Sabar Institute of Technology 4. Narsinhbhai Inst of Comp Studies & Mgmt
http://link.springer.com/chapter/10.1007/9789811001352_53
4/5
3/2/2016
Design and Implementation of Non Touch Enabled Password System Springer
5. Narsinhbhai Inst of Comp Studies & Mgmt Authors Monica Varia (6) Hardik Modi (6) Author Affiliations 6. Electronics and Communication Engineering Department, Charotar University of Science and Technology, Changa, India
http://link.springer.com/chapter/10.1007/9789811001352_53
5/5
