Human Iris Verification.

Date of Submission

December 2011

Date of Award

Winter 12-12-2012

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Electronics and Communication Sciences Unit (ECSU-Kolkata)


Chanda, Bhabatosh (ECSU-Kolkata; ISI)

Abstract (Summary of the Work)

This article proposes a method for personal identification based on iris recognition. The method consists of three major components: image preprocessing, feature extraction and classifier design. The UBIRIS database is used for obtaining iris images. The iris segmentation is obtained by using an integro-differential operation.The segmented iris is then normalised and a small portion of the normalised portion is used for feature extraction and verification.Three types of features are extracted from the normalised iris segments - GLCM based features, features based on number of runs of pixels in four directions (N,NE,E,NW) and features extracted using Local Directional Pattern or LDP.We present a comparison of the performances of the method using a combination of the above mentioned feature extraction techniques.It has also been shown experimentally that the iris patterns exhibit a symmetry about the vertical axis. The multiclass problem is reduced to a two class verification problem. Two types of feature vectors - interclass difference vectors and intraclass difference vectors, thus created, are trained on a Support Vector Machines for classification. Experimental results show that the proposed method has encouraging performance.


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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