Secure Authentication with Iris using Hamming Distance 
P.Vimala1, C. Karthika Pragadeeswari2
1P.Vimala, Assistant Professors, Department of Electronics and Communication Engineering, Facultyof Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, India.
2C.Karthika Pragadeeswari, Assistant Professors, Department of Electronics and Communication Engineering,, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, Tamil Nadu, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 4787-4790 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7447118419/2019©BEIESP | DOI: 10.35940/ijrte.D7447.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Biometrics authentication is the automated recognition of physiological or behavioral characteristics of a person without any previous knowledge. It adds a unique identifier and it is extremely difficult to duplicate. One of the most unique biometric authentication structures is iris pattern. It is the most solid and exact distinguishing proof structure existing around. The exhibition of this acknowledgment framework can be estimated with quality and acknowledgment rate. In the proposed work, iris code were generated by the processing the iris image by applying preprocessing, gaber filter, normalization, feature encoding by Fast Fourier Transform and then Hamming distance was used for pattern matching. The overall success rate shows that iris recognition is a reliable and accurate biometric authentication.
Keywords: Image Processing, Iris, Normalization, Preprocessing, Segmentation, Feature Extraction, Hamming Distance.
Scope of the Article: Signal and Image Processing.