Fingerprint Image Quality Estimation and its Application to Multi-Algorithm Verification

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Fronthaler, HartwigHögskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS) (author)

Fingerprint Image Quality Estimation and its Application to Multi-Algorithm Verification

BookEnglish2006

Publisher, publication year, extent ...

Halmstad :School of Information Science, Computer and Electrical Engineering (IDE), Halmstad University,2006
28 s.
electronicrdacarrier

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LIBRIS-ID:oai:DiVA.org:hh-14931
https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-14931URI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:vet swepub-contenttype
Subject category:rap swepub-publicationtype

Notes

Recently, image quality awareness has been found to increase recognition rates and to supportdecisions in multimodal authentication systems significantly. Nevertheless, automatic quality assessmentis still an open issue, especially with regard to biometric authentication tasks. Here we analyze theorientation tensor of fingerprint images with a set of symmetry descriptors, in order to detect fingerprintimage quality impairments like noise, lack of structure, blur, etc. Allowed classes of local shapes area priori application information for the proposed quality measures, therefore no training or explicitimage reference information is required. Our quality assessment method is compared to an existingautomatic method and a human opinion in numerous experiments involving several public databases.Once the quality of an image is determined, it can be exploited in several ways, one of which is toadapt fusion parameters in a monomodal multi-algorithm environment, here a number of fingerprintrecognition systems. In this work, several trained and non-trained fusion schemes applied to the scoresof these matchers are compared. A Bayes-based strategy for combining experts with weights on theirpast performances, able to readapt to each identity claim based on the input quality is developed andevaluated. To show some of the advantages of quality-driven multi-algorithm fusion, such as boostingrecognition rates, increasing computational efficiency, etc., a novel cascade fusion and simple fusionrules are employed in comparison as well.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
structure tensor
orientation fields
biometrics
fingerprints
quality assessment
filtering
symmetry descriptors
simple fusion schemes
cascaded fusion
adaptive fusion
Bayesian statistics
Electrical engineering, electronics and photonics
Elektroteknik, elektronik och fotonik

Added entries (persons, corporate bodies, meetings, titles ...)

Kollreider, KlausHögskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)(Swepub:hh)klakolx (author)
Bigun, JosefHögskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)(Swepub:hh)josef (author)
Fierrez-Aguilar, JulianUniversidad Autonoma de Madrid (author)
Alonso-Fernandez, FernandoUniversidad Autonoma de Madrid(Swepub:hh)feralo (author)
Ortega-Garcia, JavierUniversidad Autonoma de Madrid (author)
Gonzalez-Rodriguez, JoaquinUniversidad Autonoma de Madrid (author)
Högskolan i HalmstadHalmstad Embedded and Intelligent Systems Research (EIS) (creator_code:org_t)

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