A line feature approach to finger knuckle image recognition-Reference-Cited by-同舟云学术

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A line feature approach to finger knuckle image recognition

Published:2020-08-11 Issue:7 Volume:41 Page:1549-1560
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Singh Brajesh Kumar¹,Kumar Ravinder²,Kishore R. Rama³

Affiliation:

1. University School of Information & Communication Technology, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi 110078, India

2. Skill Faculty of Engineering & Technology, Shri Vishwakarma Skill University, Gurgaon 122003, Haryana, India.

3. University School of Information & Communication Technology, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi 110078, India.

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2020.1802128

Reference25 articles.

1. A Fingerprint Orientation Model Based on 2D Fourier Expansion (FOMFE) and Its Application to Singular-Point Detection and Fingerprint Indexing

2. Global Ridge Orientation Modeling for Partial Fingerprint Identification

3. Feature Component-Based Extreme Learning Machines for Finger Vein Recognition

4. Personal Authentication Using Hand Vein Triangulation and Knuckle Shape

Cited by 4 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. Fusion of deep and local gradient-based features for multimodal finger knuckle print identification;Cluster Computing;2024-03-26

2. Contactless Hand Knuckle Modality for Identity Verification Using Siamese Network;2023 International Conference on Cyberworlds (CW);2023-10-03

3. Companion bot with voice and facial emotion detection with PID based computer vision;Journal of Discrete Mathematical Sciences and Cryptography;2022-05-19

4. Finger knuckle pattern person authentication system based on monogenic and LPQ features;Pattern Analysis and Applications;2022-01-06

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