Human Identification Method: SCLERA RECOGNITION

Abstract
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The structure of blood vessels in the sclera- the white part of the human eye, is unique for every individual, hence it is best suited for human identification. However, this is a challenging research because it has a high insult rate (the number of occasions the valid user is rejected). In this survey firstly a brief introduction is presented about the sclera based biometric authentication. In addition, a literature survey is presented. We have proposed simplified method for sclera segmentation, a new method for sclera pattern enhancement based on histogram equalization and line descriptor based feature extraction and pattern matching with the help of matching score between the two segment descriptors. We attempt to increase the awareness about this topic, as much of the research is not done in this area.

Published In : IJCSN Journal Volume 6, Issue 1

Date of Publication : February 2017

Pages : 24-29

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Vanita Patil : had completed her BE in E&TC and pursuing M.E. from the J.T. Mahajan college of Enginerering Faizpur. Maharashtra.

Dr. A. M. Patil : Phd in electronics from North Maharashtra University. And working as a Professor in Dept of E&TC .in J.T.Mahajan College of Engineering, Faizpur. Maharashtra.

Sclera Recognition, Histogram Equalization, Image Processing, Line Descriptor, Sclera Segmentation

Totally 10 images are taken from the same ten classes which are used as training set, two from each class. So, the experiment is taken with 10 test cases. For every test case 30 distance values are calculated. Based upon minimum distance value the authentication has been done. Testing is done by measuring min distance value between template matching.

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