Abstract
At present, there are many competing fingerprint sensors available. Thus, fingerprint sensor benchmarking is necessary but unfortunately no proper methodology is available. This paper attempts to address this deficiency by proposing a new methodology to benchmark the fingerprint sensors. The methodology consists of three metrics and the associated procedures to collect the data in order to compute the proposed metrics. Two small scale experiments are conducted to show the validity and efficacy of the proposed method. These include comparison of the image acquisition performance among various sensors with different skin type and under different weather condition. The effect of number of usage with acquisition performance is also analyzed. Analysis of the results shows that the proposed method does provide a basic sensor benchmarking capability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hicklin, R.A.: Comparative Fingerprint Quality and Performance, Mitretek Technology Summaries Summer 2003, pp. 13–16 (2003), http://www.biometrics.org/html/bc2002_sept_program/5_bc0145_HicklinBrief.pdf
Simon-Zorita, D., Ortega-Garcia, J., Sanchez-Asenjo, M., Ganzalez Rodiguez, J.: Minutia Based Enhanced Fingerprint Verification Assessment Relaying on Image Quality Factors. In: Proc. IEEE Int. Conf on Image Processing, vol. 2, pp. 891–894 (2003)
Utah Department of Public Safety - Bureau of Criminal Identification (US), http://bci.utah.gov/AFIS/Quality.html
Hicklin, A.: Comparative Fingerprint Quality and Performance: Rolls, Slaps and Flaps. In: Biometric Consortium Conference (2002), www.biometrics.org/html/bc2002_sept_program/5_bc0145_HicklinBrief.pdf
Lim, E., Jiang, X.D., Yau, W.Y.: Fingerprint Quality and Validity Analysis. In: Proc. IEEE Int. Conf. on Image Processing, vol. 1, pp. 469–472 (2002)
Bolle, R.M., Pankanti, S.U., Yao, Y.S.: System and method for determining the quality of fingerprint images. US Patent No 5963656 (1999)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yau, W.Y., Chen, T.P., Morguet, P. (2004). Benchmarking of Fingerprint Sensors. In: Maltoni, D., Jain, A.K. (eds) Biometric Authentication. BioAW 2004. Lecture Notes in Computer Science, vol 3087. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25976-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-25976-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22499-0
Online ISBN: 978-3-540-25976-3
eBook Packages: Springer Book Archive