Open Access Open Access  Restricted Access Subscription or Fee Access

An Emerging Technology – Iris Recognition System: A Review

SANJAY Singh Thakur

Abstract


Iris Recognition is one of the imperative biometric acknowledgment systems that recognize individuals in light of their eyes and iris. This paper shows an outline of iris acknowledgment framework and related material is likewise considered.

Full Text:

PDF

References


Jain, A.K., Bolle, R.M., Pankanti, S. (eds.), Biometrics: Personal Identification in Net-Worked Society. Kluwer, Norwell; 1999.

Prabhakar, S., Kittler, J., Maltoni, D., O’Gorman, L., Tan, T. Introduction to the special issue on biometrics: progress and directions, IEEE Trans Pattern Anal Mach Intell. 2007; 29(4): 513–6p.

Xiaofu He, et al.," A New Fake Iris Detection Method", M. Tistarelli and M.S. Nixon (Eds.): ICB 2009, LNCS 5558, Springer-Verlag Berlin Heidelberg 2009, 1132–9p.

Algirdas Bastys, Iris Matching by Local Extremum Points of Multi scale Tayl or Expansion. ICB2009, LNCS5558, Springer-Verlag Berlin Heidelberg, 2009, 1070–9p.

Daugman, J., Dowing, C. Epigenetic randomness, complexity, and singularity of human iris patterns, In: Preceding soft the Royal Society. B, 268, Biological Sciences, 2001, 1737–40p.

Daugman, J. Statistical richness of visual phase information: update on recognizing Persons by iris patterns, Int J Comput Vis. 2001; 45(1): 25–38p.

6th International Symposium Electronics in Marine. ELMAR-2004, 16–18 June 2004, Zadar, Croatia 185.

S. Prabhakar, S. Pankanti, A. K. Jain, Biometric recognition: security and privacy concerns, IEEE Security & Privacy. 2003, 33–42p.

A. K. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition, IEEE Tran Circuits Syst Video Technol. 2004; 14(1): 4–19p.

JialieShen and et al., Dual Phase Learning for Large Scale Video Gait Recognition. School of Information Systems, Singapore Management University, © Springer-Verlag Berlin Heidelberg, 2010.

Algirdas Bastys, Iris Matching by Local Extremum Points of Multi scale Tayl or Expansion. ICB2009, LNCS5558, Springer-Verlag Berlin Heidelberg, 2009, 1070–9p.

Daugman, J., Dowing, C. Epigenetic randomness, complexity, and singularity of human iris patterns, In: Preceding soft the Royal Society. B, 268, Biological Sciences, 2001, 1737–40p.

Daugman, J. Statistical richness of visual phase information: update on recognizing Persons by iris patterns, Int J Comput Vis. 2001; 45(1): 25–38p.

6th International Symposium Electronics in Marine. ELMAR-2004, 16–18 June 2004, Zadar, Croatia, 185p.

S. Prabhakar, S. Pankanti, A. K. Jain, Biometric Recognition: Security and Privacy Concerns. IEEE Security & Privacy, March/April 2003, 33–42p.

A. K. Jain, A. Ross, S. Prabhakar, An Introduction to Biometric Recognition, IEEE Trans Circuits Syst Video Technol. 2004; 14(1): 4–19p.

Padma Polash Paul*, Md. Maruf Monwar, Human Iris Recognition for Biometric Identification. Ahsanullah University of Science and Technology, Dhaka, Bangladesh, 2007.

Bhawna Chouhan, Shailja Shukla. Iris Recognition System using canny edge detection for Biometric Identification, Int J Eng Sci Technol (IJEST). ISSN: 0975-5462 Vol. 3 No. I Jan 2011.

Jing Dong, Tieniu Tan, Effects of watermarking on iris recognition performance, In: 10th Intl Conf. on Control, Automation, Robotics and Vision. Hanoi, Vietnam, 17–20 December 2008.




DOI: https://doi.org/10.37628/ijece.v1i2.403

Refbacks

  • There are currently no refbacks.