Human Identification Using IRIS Recognition

Authors(2) :-Kalyani R. Rawate, Prof. P. A. Tijare

Identification and verification of a person today is a common thing; which may include door-lock system and vehicle control or even at accessing bank accounts via ATM, etc. which is necessary for securing personal information. The conventional methods like ID card verification or signature does not provide perfection and reliability. Identification by biological features gets tremendous importance with the increasing of security systems in society. Various types of biometrics like face, finger, iris, retina, voice, palm print, ear and hand geometry, in all these characteristics, iris recognition gaining attention because iris of every person is unique, it never changes during human lifetime and highly protected against damage. This unique feature shows that iris can be good security measure. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance. The iris recognition systems have recently shown very high accuracies in verifying an individualís identity. The function of the iris is to control the amount of light entering through the pupil, and this is done by the sphincter and the dilator muscles, which adjust the size of pupil. The complete iris recognition system can be split into four stages: Image acquisition, segmentation, encoding and matching.

Authors and Affiliations

Kalyani R. Rawate
Department of Computer Science and Engineering, Sipna College Of Engineering and Technology, Maharashtra, India
Prof. P. A. Tijare
Department of Computer Science and Engineering, Sipna College Of Engineering and Technology, Maharashtra, India

Biometric, Iris Recognition, Localization, Normalization, Pattern Matching, Iris Recognition Applications.

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Publication Details

Published in : Volume 3 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 578-584
Manuscript Number : IJSRSET1732161
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Kalyani R. Rawate, Prof. P. A. Tijare, " Human Identification Using IRIS Recognition, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 2, pp.578-584, March-April-2017.
Journal URL : http://ijsrset.com/IJSRSET1732161

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