ICTACT Journal on Image and Video Processing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Effective Image Processing Techniques Based Iris Attendance System


Affiliations
1 Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, India
2 Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, India
3 Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, India
     

   Subscribe/Renew Journal


In this paper, the iris prediction gives an incipient conception for Biometric benchmark process. Biometrics is the most secure and utilize-cordial benchmark implement. Iris perception technology contains pattern perception and optics method. It identifies an individual person by utilizing their individual physical characteristics. Iris perception system is very wide compared with other biometric systems. The main wholesomeness of iris perception system is its stability and uniqueness that results in a single enrolment for the lifetime. It provides increasingly varies than the fingerprint and the other biometrics systems, where the information cannot be stolen.

Keywords

Iris Prediction System, Pattern Analysis, Biometric Authentication, Human Eye.
Subscription Login to verify subscription
User
Notifications
Font Size

  • Gajendra Singh Chandel and Ankesh Bhargava, “Identification of People by Iris Recognition”, International Journal of Science and Modern Engineering, Vol. 1, No. 4, pp. 1-12, 2013.

  • J. Daugman, “How Iris Recognition Works”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 1, pp. 21-29, 2005.

  • Richard Yew Fatt Ng, Yong Hour Tay and Kai Ming Mok, “A Review of Iris Recognition Algorithm”, Proceedings of International Symposium on Information Technology, pp. 26-32, 2008.

  • Seifedine Kadry and Khaled Smaili, “A Design and Implementation of a Wireless Iris Recognition Attendance Management System”, Information Technology and Control, Vol. 36, No. 3, pp. 323-329, 2007.

  • M. Mattam, S.R.M. Karumuri and S.R. Meda, “Architecture for Automated Student Attendance”, Proceedings IEEE 4th International Conference on Technology for Education, pp. 164-167, 2012.

  • Iris Recognition, Available at: http://en.wikipedia.org/wiki/Iris_recognition.

  • Ujwalla Gawande, Mukesh Zaveri and Avichal Kapur, “Improving Iris Recognition Accuracy by Score Based Fusion Method”, International Journal of Advancements in Technology, Vol. 1, No. 1, pp. 1-8, 2010.

  • R.M. Bolle, J.H. Connell, S. Pankanti, N.K. Ratha and A.W. Senior, “Guide to Biometrics”, Springer, 2003.

  • N. Sudha, N.B. Puhan, H. Xia and X. Jiang, “Iris Recognition on Edge Maps”, IET Computer Vision, Vol. 3, No. 1, pp. 1-7, 2009.


Abstract Views: 331

PDF Views: 0




  • Effective Image Processing Techniques Based Iris Attendance System

Abstract Views: 331  |  PDF Views: 0

Authors

S. Athinarayanan
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, India
K. Navaz
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, India
R. Lakshmi Priya
Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, India
V. Ebenezer
Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, India

Abstract


In this paper, the iris prediction gives an incipient conception for Biometric benchmark process. Biometrics is the most secure and utilize-cordial benchmark implement. Iris perception technology contains pattern perception and optics method. It identifies an individual person by utilizing their individual physical characteristics. Iris perception system is very wide compared with other biometric systems. The main wholesomeness of iris perception system is its stability and uniqueness that results in a single enrolment for the lifetime. It provides increasingly varies than the fingerprint and the other biometrics systems, where the information cannot be stolen.

Keywords


Iris Prediction System, Pattern Analysis, Biometric Authentication, Human Eye.

References