IRIS Biometric Identification System Based on Modified Canny Edge Detection Algorithm  
  Authors : Satvir Singh ; Arun Kaushik

 

Authentication is required when there is a need to know about a person who they claim to be. It is a procedure which involves a person making a claim about their identity and then providing evidence to prove it. In this paper, iris biometric identification system has been presented that uses modified Canny Edge Detection algorithm for segmentation, binarization and cropping. Feature extraction is done by normalization and feature encoding process followed by matching process based on manhattan distance. Experimental simulation results are analysed on the basis of False Acceptance Rate (FAR) and False Rejection Rate (FRR) and found better. Modified Canny Edge Detection algorithm provides accuracy up to 99.08% on the basis of FAR and FRR.

 

Published In : IJCAT Journal Volume 1, Issue 4

Date of Publication : 31 May 2014

Pages : 104 - 108

Figures : 03

Tables : 01

Publication Link : IRIS Biometric Identification System Based on Modified Canny Edge Detection Algorithm

 

 

 

Satvir Singh : SBS State Technical Campus, Moga Road, Ferozepur-152004 (Punjab) India

Arun Kaushik : PTU Reginal Center, SBS STC, Moga Road, Ferozepur-152004 (Punjab) India

 

 

 

 

 

 

 

Canny Edge Detection Algorithm

Segmentation

Iris Pattern

Biometric Identification System

In the proposed system a new technique is used at level of segmentation. Matching of the system is on the basis of Manhattan Distance. In this the first step of recognition system is segmentation. Which can be performed by both canny and Improved canny to measure compare the performance. The second step is feature extraction and then preparing a template which can be used for matching at testing phase. Performance of Improved canny based iris recognition system is better than the Canny based iris recognition system which can be calculated by calculating accuracy. The accuracy of the proposed system is 99.08%. Future work could go in the direction of using more than one modality to increase the level of security [15] [16].

 

 

 

 

 

 

 

 

 

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