Fingerprint Image Quality Fuzzy System

Abdelwahed Motwakel1 and Adnan Shaout2

1Collage of Post Graduate Studies, Sudan University of Science and Technology

2The Electrical and Computer Engineering Department, the University of Michigan-Dearborn

Abstract: In this paper, we present a novel technique to analysis fingerprint image quality using fuzzy logic. The quality of fingerprint image greatly affects the performance of minutiae extraction and the process of matching in fingerprint identification system. The system uses the extracted four features from a fingerprint image which are the Local Clarity Score (LCS), Global Clarity Score (GCS), Ridge_Valley Thickness Ratio (RVTR), and the contrast. The proposed fuzzy logic system uses mamdani fuzzy rule model which can analysis and determinate the fingerprint image type (oily, dry or neutral) based on the extracted feature values and fuzzy inference rules.

Keywords: Fingerprint image quality, LCS, GCS, RVTR, contrast, fuzzy inference system.

Received September 13, 2015; accepted October 18, 2015