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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 9, SEPTEMBER 2015

Human Identification by Classifying the Features of the Sclera Region of the Eye

Therese Yamuna Mahesh, Dr.K. L. Shunmuganathan

DOI: 10.17148/IJARCCE.2015.4978

Abstract: Sclera based recognition is identification of a person using the features of sclera region of the eye. This method allows the use of existing imaging systems to acquire the image of the sclera region and identify people. Assuming that the entire sclera region was enrolled for matching, off-angle eyes reveal more of the sclera vein pattern for matching. This method does not require frontal gaze images a necessary condition. Thus, even an individual who was actively attempting to avoid detection or recognition by looking away from the matching system would be unable to avoid presenting a valid biometric pattern for identification.



Keywords: Sclera segmentation; Vein pattern enhancement; Feature extraction; classification, multilayer perceptron.

How to Cite:

[1] Therese Yamuna Mahesh, Dr.K. L. Shunmuganathan, “Human Identification by Classifying the Features of the Sclera Region of the Eye,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4978