Special Section on Biometrics: Advances in Security, Usability, and Interoperability

Performance of fingerprint quality measures depending on sensor technology

[+] Author Affiliations
Fernando Alonso-Fernandez

Universidad Autonoma de MadridEscuela Politecnica Superior, Biometric Recognition Group—ATVS, Campus de Cantoblanco—C/ Francisco Tomas y Valiente 11,28049 Madrid, Spain

Fabio Roli

University of Cagliari, Department of Electrical and Electronic Engineering, Piazza d’Armi, 09123 Cagliari, Italy

Gian Luca Marcialis

University of Cagliari, Department of Electrical and Electronic Engineering, Piazza d’Armi, 09123 Cagliari, Italy

Julian Fierrez

Universidad Autonoma de Madrid,Escuela Politecnica Superior, Biometric Recognition Group—ATVS, Campus de Cantoblanco—C/ Francisco Tomas y Valiente 11,28049 Madrid, Spain

Javier Ortega-Garcia

Universidad Autonoma de Madrid,Escuela Politecnica Superior, Biometric Recognition Group—ATVS, Campus de Cantoblanco—C/ Francisco Tomas y Valiente 11,28049 Madrid, Spain

Joaquin Gonzalez-Rodriguez

Universidad Autonoma de Madrid,Escuela Politecnica Superior, Biometric Recognition Group—ATVS, Campus de Cantoblanco—C/ Francisco Tomas y Valiente 11,28049 Madrid, Spain

J. Electron. Imaging. 17(1), 011008 (March 25, 2008). doi:10.1117/1.2895876
History: Received June 15, 2007; Revised November 14, 2007; Accepted November 28, 2007; Published March 25, 2008
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Although many image quality measures have been proposed for fingerprints, few works have taken into account how differences among capture devices impact the image quality. Several representative measures for assessing the quality of fingerprint images are compared using an optical and a capacitive sensor. We implement and test a representative set of measures that rely on different fingerprint image features for quality assessment. The capability to discriminate between images of different quality and the relationship with the verification performance are studied. For our verification experiments, we use minutiae- and ridge-based matchers, which are the most common approaches for fingerprint recognition. We report differences depending on the sensor, and interesting relationships between sensor technology and features used for quality assessment are also pointed out.

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© 2008 SPIE and IS&T

Citation

Fernando Alonso-Fernandez ; Fabio Roli ; Gian Luca Marcialis ; Julian Fierrez ; Javier Ortega-Garcia, et al.
"Performance of fingerprint quality measures depending on sensor technology", J. Electron. Imaging. 17(1), 011008 (March 25, 2008). ; http://dx.doi.org/10.1117/1.2895876


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