Open Access Journal

ISSN : 2456-1304 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Science Engineering and Management (IJSEM)

Monthly Journal for Science Engineering and Management

ISSN : 2456-1304 (Online)

Feature Extraction Methods of Iris Recognition

Author : Sarika B.Solanke 1 Ratnadeep R. Deshmukh 2

Date of Publication :6th February 2018

Abstract: The biometric recognition system is today’s essential need. Among the biometrics, iris has highly accurate and reliable characteristics. Iris recognition technique is used in many applications such as Aadhar card system, airport security, access control in factories, identification for Automatic Teller Machines and restricted access to police evidence rooms. The algorithms used in iris recognition are categorized into three stages: Image Preprocessing, Feature Extraction and Template Matching. We have studied the various Iris Recognition algorithms. This paper provides a review of major feature extraction methods of iris recognition. The Image preprocessing and Feature Extraction are the essential steps for accurate accuracy. Cumulative Sums Change Analysis Method of feature extraction is the more reliable than other methods. Hamming distance method is the most useful method for template matching. Various databases of iris are available that will be useful for researchers to implement the application for identification or verification

Reference :

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    3.  R.P. Wildes (1997). “Iris Recognition: An Emerging Biometric Technology”, Proceedings of the IEEE, Vol.85, pp.1348-1363.
    4.  Richard Yew Fatt Ng Yong Haur Tay Kai Ming Mok,“A Review of Iris Recognition Algorithms”, Computer Vision and Intelligent Systems (CVIS) Group Universiti Tunku , IEEE 2008.
    5. Sarika B. Solanke, “Biometrics – Iris Recognition System” a study of promising approaches for secured authentication”, IEEE International Conference on “Computing for Sustainable Global Development”, BVICAM, 2016.
    6. M.Sujithra,G.Padmavathi, “A Survey of Biometrics Iris Recognition : Security,Techniques and Metrics”,Asian Journal of Information Technology,2015.

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