Abstract
A method for measuring deformations inside single fingerprint images is presented. State-of-the-art fingerprint recognition systems still use affine, to scale represented images. Therefore, image data from so-called sweep sensors is reconstructed to obtain conventional images. Measuring the deformation of fingerprint images facilitates other matching approaches not requiring the finger speed information, e.g. using directly concatenated slice images. Furthermore, fingerprint image compression can be realized by deleting similar content since the images can be reconstructed using deformation measurement.
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.
References
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, Heidelberg (2003)
Mainguet, J.F.: Fingerprint-Reading System, United States Patent No. US 6,289,114 B1 (September 11, 2001)
Finger Minutiae Encoding Format and Parameters for On-Card Matching, DIN V. 66400 (2001)
Dorai, C., Ratha, N., Bolle, R.: Reliable Distortion Detection in Compressed Fingerprint Videos. In: Proc. CVPR 2000, Hilton Head SC (2000)
Garris, M.D., McCabe, R.M.: Fingerprint Minutiae from Latent and Matching Tenprint Images, NIST and FBI
Jain, A.K., Hong, L., Pankanti, S., Bolle, R.: An Identity Authentication System Using Fin-gerprints. Proceedings of the IEEE 85(9), 1365–1388 (1997)
Roddy, A.R., Stosz, J.D.: Fingerprint Features - Statistical Analysis and System Perform-ance Estimates. Proceedings of the IEEE 85(9), 1390–1421 (1997)
Wilson, C.L., Watson, C.I., Paek, E.G.: Combined Optical and Neural Network Fingerprint Matching, Optical Pattern Recognition VIII. In: SPIE Proceedings, vol. 3073, pp. 373–382 (1997)
Levesque, V., Hayward, V.: Experimental Evidence of Lateral Skin Strain During Tactile Exploration. In: Proceedings Eurohaptics (2003)
Watson, C.I., Candela, J., Grother, P.: Comparison of FFT Fingerprint Filtering Methods for Neural Network Classification, Technical Report NISTIR 5493 (1994)
Hong, L., Wan, Y., Jain, A.K.: Fingerprint Image Enhancement Algorithm and Perform-ance Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 80(8), 777–789 (1998)
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
Lorch, H., Morguet, P., Schröder, H. (2004). Fingerprint Distortion Measurement. 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_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-25976-3_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22499-0
Online ISBN: 978-3-540-25976-3
eBook Packages: Springer Book Archive