Monocular 3D Fingerprint Reconstruction and Unwarping
- URL: http://arxiv.org/abs/2205.00967v1
- Date: Mon, 2 May 2022 15:09:05 GMT
- Title: Monocular 3D Fingerprint Reconstruction and Unwarping
- Authors: Zhe Cui, Jianjiang Feng, Jie Zhou
- Abstract summary: We propose a learning based shape from texture algorithm to reconstruct a 3D finger shape from a single image and unwarp the raw image to suppress perspective distortion.
Experimental results on contactless fingerprint databases show that the proposed method has high 3D reconstruction accuracy.
- Score: 36.50244665233824
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Compared with contact-based fingerprint acquisition techniques, contactless
acquisition has the advantages of less skin distortion, larger fingerprint
area, and hygienic acquisition. However, perspective distortion is a challenge
in contactless fingerprint recognition, which changes ridge orientation,
frequency, and minutiae location, and thus causes degraded recognition
accuracy. We propose a learning based shape from texture algorithm to
reconstruct a 3D finger shape from a single image and unwarp the raw image to
suppress perspective distortion. Experimental results on contactless
fingerprint databases show that the proposed method has high 3D reconstruction
accuracy. Matching experiments on contactless-contact and
contactless-contactless matching prove that the proposed method improves
matching accuracy.
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