Call For Paper Volume:8 Issue:12 Dec'2021 |

Authentication System For IRIS Biometric Recognition Using Texture Analysis

Publication Date : 30/05/2017


DOI : 10.21884/IJMTER.2017.4168.MG7EA

Author(s) :

LEENA D. BHAIYA , Prof. Ajay B. Gadicha.


Volume/Issue :
Volume 4
,
Issue 5
(05 - 2017)



Abstract :

A biometric system provides automatic identification of an individual based on a unique feature possessed by the individual. Iris recognition has emerged as one of the most preferred biometric modalities for automated personal identification. Iris is an internally protected organ whose texture is stable from birth to death, as its texture is unique in each individual, so it is reliable and accurate method of biometric technology. Our new approach for iris recognition has 4 stages: image preprocessing, pupil detection, hybrid feature extraction and classification. In feature extraction, texture analysis is done, which refers to the characterization of regions in an image by their texture content. It attempts to quantify intuitive qualities described by terms such as rough, smooth, silky, or bumpy as a function of the spatial variation in pixel intensities. In classification, template will be compared to a stored template in a database and then it will determine authenticated user. Keywords : Biometric, Iris, hybrid feature extraction, classification.


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Authentication System For IRIS Biometric Recognition Using Texture Analysis

May 18, 2017