Paper
17 February 2006 Reference point detection for improved fingerprint matching
Author Affiliations +
Proceedings Volume 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII; 60720G (2006) https://doi.org/10.1117/12.642923
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
One of the important stages of fingerprint recognition is the registration of the fingerprints with respect to the original template. This is not a straightforward task as fingerprint images may have been subject to rotations and translations. Popular techniques for fingerprint registration use a reference point to achieve alignment. The drawback of existing methods of core/reference point detection is their poor performance on rotated images. In this paper, we propose a new approach for rotation invariant and reliable reference point detection applicable to fingerprints of different quality and types. Our approach is based on the integration of a directional vector field (representing the doubled ridge orientations in fingerprints) over a closed contour. We define the reference point as the point of the highest curvature. Areas of high curvature in the fingerprint are characterized by large differences in the orientations and correspond to high curvatures in the directional vector fields. Closed contour integrals of orientation vector field, defined as above, over a circle centered around the reference point corresponds to maximal closed curve integrals, and the values associated with such integrals are rotation invariant. Experimental results prove that with the proposed approach we can locate the reference point with high accuracy. Comparison with existing methods is provided.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tanya Ignatenko, Ton Kalker, Michiel van der Veen, and Asker Bazen "Reference point detection for improved fingerprint matching", Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 60720G (17 February 2006); https://doi.org/10.1117/12.642923
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Image registration

Image enhancement

Databases

Fingerprint recognition

Image quality

Image segmentation

RELATED CONTENT

Measuring fingerprint image quality using gradient
Proceedings of SPIE (March 28 2005)
Target location for IR image based on IR visual image...
Proceedings of SPIE (August 04 2009)
A new SVM for distorted SAR object classification
Proceedings of SPIE (March 28 2005)
Fast Multi-Modality Image Matching
Proceedings of SPIE (May 25 1989)

Back to Top