Abstract—This paper proposes a novel method, a Fuzzy Feature Match (FFM) based on a controlled triangle feature set inscribed in a rhombus to match the deformed fingerprints. The fingerprint is represented by the fuzzy feature set. The fuzzy features set similarity is used to analyze the similarity among fingerprints. A fuzzy similarity for two triangles is introduced and then a similarity vector including the triangle-level similarities for all triangles and the rhombus in two fingerprints are constructed. Accordingly, a similarity vector pair is defined to illustrate the similarities between two fingerprints. 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 Noorul Islam (NI) university staff members’ fingerprint database. Experimental results confirm that the proposed FFM based on the local triangle feature set inscribed in a rhombus is a reliable and effective algorithm for fingerprint matching with nonlinear distortions.

Index Terms—Controlled triangularization, distortion, fuzzy features, minutia.

R. Kavitha Jaba Malar is with Mother Teresa Women’s university, Kodaikanal, India. (email: kavith_in2000@yahoo.co.in).
V. Joseph Raj is with the Department of Computer Science, Kamaraj College, Manonmaniam Sundaranar University, Thoothukudi, India.

 

Cite:R. Kavitha Jaba Malar and V. Joseph Raj, "Controlled Triangularization Fingerprint Verification Inscribed in a Rhombus Using Fuzzy Feature Matching," International Journal of Computer and Electrical Engineering vol. 6, no.2, pp. 123-126, 2014.