Objective fingerprint image quality assessment using gabor spectrum approach

M. S. Altarawneh, W. L. Woo, S. S. Dlay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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 TIMA 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.

Original languageEnglish
Title of host publication2007 15th International Conference on Digital Signal Processing, DSP 2007
PublisherIEEE
Pages248-251
Number of pages4
ISBN (Electronic)1424408822
ISBN (Print)1424408814
DOIs
Publication statusPublished - 13 Aug 2007
Event2007 15th International Conference onDigital Signal Processing, DSP 2007 - Wales, United Kingdom
Duration: 1 Jul 20074 Jul 2007

Conference

Conference2007 15th International Conference onDigital Signal Processing, DSP 2007
CountryUnited Kingdom
CityWales
Period1/07/074/07/07

Fingerprint Dive into the research topics of 'Objective fingerprint image quality assessment using gabor spectrum approach'. Together they form a unique fingerprint.

Cite this