Matching of Iris Pattern Using Image Processing
N.B. Prajwala1, N.B. Pushpa2
1N.B. Prajwala, Department of Studies Computer Science, University of Mysore, Mysore (Karnataka), India.
2Dr. N.B. Pushpa, Department of Anatomy, JSS Medical College JSSAHER, Mysore (Karnataka), India.
Manuscript received on 10 October 2019 | Revised Manuscript received on 19 October 2019 | Manuscript Published on 02 November 2019 | PP: 21-23 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B10040982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1004.0982S1119
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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: Personal identification is very vital in this digital era for simpler mobile phone unlocking to criminal identification in the scene of crime. There are various methods of personal identification ranging from non-invasive methods of presence of moles in the visible parts of the body to the invasive DNA karyotyping. Other in the spectrum being fingerprinting, lip print, foot print, tongue print, palate print etc. As age advances there might be slight variations in finger print, ear biometric etc, where as in iris the amount of pigmentation might vary but the pattern remains almost same from birth to death, unless otherwise there is any injury to the iris which is very remote. Iris pattern recognition is a non-invasive method of biometric identification. Iris architecture is not only complex but also unique to an individual. In this article a methodology is been proposed to match iris pattern.
Keywords: Canny Edge Detection, Correlation Co-efficient, Iris Biometric, Iris Pattern Matching.
Scope of the Article: Image analysis and Processing