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Proceedings Paper

Fingerprint matching and reconstruction based on orientation information
Author(s): Zheng Lin; Yuchang Lu
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Paper Abstract

This paper proposes new methods in fingerprint matching using the orientation information extracted from the fingerprint image. Two intrinsic images of the fingerprint were obtained. One is the angle image which describes the ridge orientation at each point. The other is the coherence image which is the measure of the angle accuracy at that point. We use the phase portrait of the ordinary differential equation in 2D case to describe the orientation field of the angle image. The Lagrange multiplier rule methods was used to minimize the objective function in order to estimate the optimal parameter matrix of the ordinary differential equation. We proved that the Jordan form of this matrix which describes the fingerprint ridge orientation is invariant under rotation and translation of the image. So we use the Jordam form of the parameter matrix corresponding with the core and delta region in the fingerprint to match two fingerprint images. Some algorithms and rules were proposed to judge the similarity of the fingerprint images. Some algorithms and rules were proposed to judge the similarity of the fingerprint. We also reconstructed the orientation information of some regions in the fingerprint image based on their neighborhood orientation information.

Paper Details

Date Published: 1 September 1995
PDF: 9 pages
Proc. SPIE 2567, Investigative and Trial Image Processing, (1 September 1995); doi: 10.1117/12.218469
Show Author Affiliations
Zheng Lin, Tsinghua Univ. (China)
Yuchang Lu, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 2567:
Investigative and Trial Image Processing
Leonid I. Rudin; Simon K. Bramble, Editor(s)

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