Finger Knukle Print Recognition based on the Combination of the Multi Shift Local Binary Pattern Descriptor with Discrete Fourier Transform-Reference-Cited by-同舟云学术

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Finger Knukle Print Recognition based on the Combination of the Multi Shift Local Binary Pattern Descriptor with Discrete Fourier Transform

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)
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Author:

Arjiah Asma¹,El-Tarhouni Wafa¹,Lawgali Ahmed¹

Affiliation:

1. University of Benghazi,Faculty of Information Technology,Libya,Benghazi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837334/9837478/09837589.pdf?arnumber=9837589

Reference25 articles.

1. Finger Knuckle Print Recognition using MMDA with Fuzzy Vault

2. Local Binary Patterns and Its Variants for Finger Knuckle Print Recognition in Multi-Resolution Domain

3. Analysis of contrast limited adaptive histogram equalization (CLAHE) parameters on finger knuckle print identification

4. Deep learning for finger-knuckle-print identification system based on PCANet and SVM classifier

5. FINGER-KNUCKLE-PRINT RECOGNITION SYSTEM BASED ON FEATURESLEVEL FUSION OF REAL AND IMAGINARY IMAGES

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. Dorsal Finger crease classification system using local binary pattern and its variants-A new finger biometric modality;2024 IEEE International Conference on Applied Electronics and Engineering (ICAEE);2024-07-27

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