A Novel High-Resolution Fingerprint Representation Method-Reference-Cited by-同舟云学术

A Novel High-Resolution Fingerprint Representation Method

Published:2022-04 Issue:2 Volume:4 Page:289-300
ISSN:2637-6407
Container-title:IEEE Transactions on Biometrics, Behavior, and Identity Science
language:
Short-container-title:IEEE Trans. Biom. Behav. Identity Sci.

Author:

Liu Feng¹^ORCID,Liu Guojie¹^ORCID,Zhang Wentian¹^ORCID,Wang Lei²^ORCID,Shen Linlin¹^ORCID

Affiliation:

1. Computer Vision Institute, College of Computer Science and Software Engineering, the SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, and the National Engineering Laboratory for Big Data System Computing Technology and Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China

2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research Fund

Tencent “Rhinoceros Birds”—Scientific Research Foundation for Young Teachers of Shenzhen University

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/ielx7/8423754/9801576/09716057.pdf?arnumber=9716057

Reference37 articles.

1. Stable Pore Detection for High-Resolution Fingerprint based on a CNN Detector

2. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

3. Deep Residual Learning for Image Recognition

4. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

5. User’s guide to NIST biometric image software (NBIS);ko,2007

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