A novel modality independent score-level quality measure

Baig, Asim, Bouridane, Ahmed and Kurugollu, Fatih (2010) A novel modality independent score-level quality measure. In: 2010 7th International Symposium on Communication Systems Networks and Digital Signal Processing (CSNDSP). Institute of Electrical and Electronics Engineers ( IEEE ), Piscataway, NJ, pp. 732-735. ISBN 978-1424488582

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The performance of biometric systems deployed in real world scenarios is affected adversely by the degradation in the input quality. This degradation can take place either in the input or due to inherent design of the deployed system. Quality Measures aim to provide a quantitative indication of this degradation which can be utilized to help access the probability that the provided biometric decision is correct. In this paper we present a novel, modality independent, score level quality measure based on Mahalanobis Distance. This measure exploits the inter-dependencies which exist between the data and matching score to reduce the error rates and improve the performance of the deployed biometric system. The effectiveness of the proposed approach is verified by extensive testing using the standard databases available of fingerprints and Iris data.

Item Type: Book Section
Uncontrolled Keywords: error rate reduction, fingerprint data, iris data, modality independent score-level quality measure , probability , quality measures , quantitative indication , real world scenarios , standard databases
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: Ay Okpokam
Date Deposited: 21 Dec 2011 11:51
Last Modified: 12 Oct 2019 22:29
URI: http://nrl.northumbria.ac.uk/id/eprint/4370

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