Geometric Finger Nail Matching using Fuzzy Measures
Kavitha Jaba Malar R1, Joseph Raj V2

1Kavitha Jaba Malar R, Research Scholar, Mother Teresa Women’s University, Kodaikanal (Tamil Nadu), India.
2Dr. Joseph Raj V, Department of Computer Science, Kamaraj College, Manonmaniam Sundaranar University, Thoothukudi (Tamil Nadu), India.
Manuscript received on 10 September 2014 | Revised Manuscript received on 20 September 2014 | Manuscript Published on 30 September 2014 | PP: 57-59 | Volume-4 Issue-4, September 2014 | Retrieval Number: D1798094414/14©BEIESP
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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: This paper proposes a novel method, a Fuzzy Feature Match (FFM) based on a triangle feature set to match the fingernail. The fingernail is represented by the fuzzy feature set. The fuzzy features set similarity is used to analyze the similarity among fingerprints. Accordingly, a similarity vector pair is defined to illustrate the similarities between two fingernails. The FFM method shows the similarity vector pair to a normalized value which quantifies the overall image to image similarity. The algorithm has been evaluated with kaniyakumari district people’s fingernail database. Experimental results confirm that the proposed FFM based on the triangle feature set is a reliable and effective algorithm for fingernail matching.
Keywords: Extraction, Fingernail recognition, Fuzzy Features, Matching, Minutia. Triangularization.

Scope of the Article: Fuzzy Logics