Towards More Accurate Matching of Contactless Fingerprints With a Deep Geometric Graph Convolutional Network-Reference-Cited by-同舟云学术

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Towards More Accurate Matching of Contactless Fingerprints With a Deep Geometric Graph Convolutional Network

Published:2023-01 Issue:1 Volume:5 Page:29-38
ISSN:2637-6407
Container-title:IEEE Transactions on Biometrics, Behavior, and Identity Science
language:
Short-container-title:IEEE Trans. Biom. Behav. Identity Sci.

Author:

Shi Yelin¹,Zhang Zhao¹,Liu Shuxin²,Liu Manhua³^ORCID

Affiliation:

1. School of EIEE, Shanghai Jiao Tong University, Shanghai, China

2. School of Electrical Engineering, Shanghai Dianji University, Shanghai, China

3. MoE Key Laboratory of Artificial Intelligence, Artificial Intelligence Institute, School of EIEE, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/8423754/9997805/09940471.pdf?arnumber=9940471

Reference29 articles.

1. Fingerprint Authentication Device Based on Optical Characteristics Inside a Finger

2. A Study of Touchless Fingerprint Recognition System

3. A CNN-Based Framework for Comparison of Contactless to Contact-Based Fingerprints

4. A neural-based minutiae pair identification method for touch-less fingerprint images

5. A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Sensor Interoperability between Contactless and Contact-Based Fingerprints Using Pose Correction and Unwarping;IET Biometrics;2023-12-18

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