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A Robust Human Iris Verification Using a Novel Combination of Features

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2 Author(s)
Mukherjee, S. ; Electron. & Commun. Sci. Unit, Indian Stat. Inst., Kolkata, India ; Chanda, B.

This paper proposes a method for personal identification based on iris recognition. The iris segmentation is obtained by using an integro-differential operation. The segmented iris is then normalised and actually a small portion of the normalised portion is used for feature extraction. Three types of features are used: GLCM based features, Edge based features and Local Directional Pattern. We present a comparison of the performances of the above mentioned features. It is also shown experimentally that the half-way iris patterns exhibit a symmetry about the vertical axis. The multiclass recognition problem is reduced to a two class verification problem. Experimental results show that our proposed method has encouraging performance.

Published in:

Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on

Date of Conference:

15-17 Dec. 2011