DocumentCode :
3238340
Title :
Objective Fingerprint Image Quality Assessment using Gabor Spectrum Approach
Author :
AlTarawneh, M.S. ; Woo, W.L. ; Dlay, S.S.
Author_Institution :
Univ. of Newcastle, Newcastle upon Tyne
fYear :
2007
fDate :
1-4 July 2007
Firstpage :
248
Lastpage :
251
Abstract :
Fingerprint image quality assessment is crucial for many fingerprint applications. It affects the performance and interoperability of fingerprint identification, authentication, and built on based crypto systems. In this paper we present a novel approach for objective fingerprint image quality measure derived from power-spectra of two dimensional Gabor features representation. We also classify existing assessment algorithms into two classes: structural and intelligent representation approaches. Approaches were implemented for accuracy and reliability tests using TIM A Database including good and faulty fingerprint images and compared with Gabor spectrum approach. The goal of our quality assessment approach is to automatically assess the quality of fingerprint image in agreement with correlation of human visual system judgment. The proposed approach shows improvement performance in the quality classification of finger print images than existing classified approaches. Experimental verification demonstrates very good correlation of Gabor spectrum (GS) with subjective quality assessment. 3% improvement of power spectrum in false rejection rate, and 14% improvement of Gabor features in true acceptance rate were achieved.
Keywords :
feature extraction; fingerprint identification; image classification; Gabor features representation; Gabor spectrum; faulty fingerprint images; finger print images classification; fingerprint authentication; fingerprint identification; human visual system judgment; objective fingerprint image quality assessment; Authentication; Cryptography; Fingerprint recognition; Image databases; Image matching; Intelligent structures; Power system reliability; Quality assessment; Spatial databases; Testing; Fingerprint; Fingerprint features; Gabor function; Human Visual System; Image quality; Power spectrum; TIMA database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2007 15th International Conference on
Conference_Location :
Cardiff
Print_ISBN :
1-4244-0882-2
Electronic_ISBN :
1-4244-0882-2
Type :
conf
DOI :
10.1109/ICDSP.2007.4288565
Filename :
4288565
Link To Document :
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