Local Binary Patterns and Its Variants for Finger Knuckle Print Recognition in Multi-Resolution Domain
Author:
Publisher
Scientific Research Publishing, Inc.
Subject
General Medicine
Cited by 6 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. A Finger Knuckle Print Classification System Using SVM for Different LBP Variants;Lecture Notes in Electrical Engineering;2024
2. Circular shift combination local binary pattern (CSC-LBP) method for dorsal finger crease classification;Journal of King Saud University - Computer and Information Sciences;2023-09
3. Finger Knukle Print Recognition based on the Combination of the Multi Shift Local Binary Pattern Descriptor with Discrete Fourier Transform;2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2022-05-23
4. Jointly learning compact multi-view hash codes for few-shot FKP recognition;Pattern Recognition;2021-07
5. Multi-modal biometric system using finger knuckle image and retina image with template security using PolyU and DRIVE database;International Journal of Information Technology;2020-07-21
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