1 September 1995 Fingerprint matching and reconstruction based on orientation information
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Lin, Zheng Lin, Yuchang Lu, Yuchang Lu, } "Fingerprint matching and reconstruction based on orientation information", Proc. SPIE 2567, Investigative and Trial Image Processing, (1 September 1995); doi: 10.1117/12.218469; https://doi.org/10.1117/12.218469
PROCEEDINGS
9 PAGES


SHARE
Back to Top