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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

International Journal of Applied Research

Vol. 3, Issue 5, Part G (2017)

Person identification using human iris recognition

Author(s)
Arindom Hazra, Manas Bhattacharjee, Nafisha Parween, Ridhi Sarkar, Writi Mitra and SK Bandyopadhyay
Abstract
The security is an important aspect in our daily life whichever the system we consider security plays vital role. The biometric person identification technique iris is well suited to be applied to access control and provides strong e-security. A biometric system provides automatic recognition of an individual based on some sort of unique feature or characteristics possessed by the individual. A good biometric is characterized by use of a feature that is highly unique so that the chance of any two people having same characteristic will be minimal, stable so that the feature does not change over time and be easily captured in order to provide convenience to the user and to prevent misrepresentation of the feature. Iris is an internally protected organ whose texture is stable from birth to death. So, it is very reliable as iris texture is unique in each individual with probability of two same is 1/1051 as proved by Dr. J. Doughman. Iris recognition is a biometric system for access control that uses the most unique characteristic of the human body, the iris employed in automated border crossings, national ID systems, etc. this paper illustrates techniques to improve performance of iris recognition system based on stationary image. In this paper we focused on an efficient methodology for identification and verification for iris detection. The iris recognition approach is implemented via many steps, these steps are concentrated on image capturing, enhancement and identification. Keywords: iris, pupil, thresholding, iris pattern.
Pages: 444-447  |  587 Views  7 Downloads
How to cite this article:
Arindom Hazra, Manas Bhattacharjee, Nafisha Parween, Ridhi Sarkar, Writi Mitra, SK Bandyopadhyay. Person identification using human iris recognition. Int J Appl Res 2017;3(5):444-447.
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International Journal of Applied Research