Restoration of partially damaged fingerprints using a partial differential equation

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초록

We present novel sweeping ordering algorithms for the restoration of partially damaged fingerprint images using a partial differential equation (PDE). To efficiently and numerically solve the PDE in the discretized domain, we use the proposed sweeping ordering algorithm in conjunction with a Gauss-Seidel-type update method and an isotropic Laplacian operator. To achieve accurate and stable restoration, we use the information surrounding the damaged region as Dirichlet boundary conditions and propose a method to match the amplitude and wavelength of the damaged fingerprint image with the numerical solution. The proposed sweeping ordering algorithm starts at an interior point adjacent to a boundary point and spirals inward from this point. In this process, it visits all interior points progressively.

키워드

Damaged fingerprint; Partial differential equation; Sweeping ordering; Finite difference method; Isotropic Laplacian operator
제목
Restoration of partially damaged fingerprints using a partial differential equation
저자
Kim, Sangkwon; Li, Yibao; Kwak, Soobin; Kim, Junseok
DOI
10.1016/j.patcog.2025.112694
발행일
2026-04
유형
Article
저널명
Pattern Recognition
권
172