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Basic finger inner‐knuckle print: A new hand biometric modality

  • Published:2020-12-19 Issue:1 Volume:10 Page:65-73
  • ISSN:2047-4938
  • Container-title:IET Biometrics
  • language:en
  • Short-container-title:IET biom.

Author:

Bahmed Farah1,Ould Mammar Madani2

Affiliation:

1. Department of Computer Science Institute of Sciences and Technology Ahmed Zabana University Center of Relizane Relizane Algeria

2. Department of Electrical Engineering Faculty of Sciences and Technology Abdelhamid Ibn Badis University of Mostaganem Mostaganem Algeria

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. Fast and efficient minutia‐based palmprint matching;Soleimani H.;IET Biom.,2018

2. Palm vein recognition using a high dynamic range approach;Piciucco E.;IET Biom.,2018

3. Finger-based personal authentication: a comparison of feature-extraction methods based on principal component analysis, most discriminant features and regularised-direct linear discriminant analysis

4. Contact-free hand geometry-based identification system

5. I. Bakina L. Mestetskiy 2011

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1. Contactless hand biometrics for forensics: review and performance benchmark;EURASIP Journal on Image and Video Processing;2024-09-05

2. Hand-based multimodal biometric fusion: A review;Information Fusion;2024-09

3. Hand -Based Multimodal Biometric Authentication System;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

4. Identification Method of Inner Knuckle Print Based on Geometric Features;2023 6th International Conference on Communication Engineering and Technology (ICCET);2023-02

5. Finger Vein and Inner Knuckle Print Recognition Based on Multilevel Feature Fusion Network;Applied Sciences;2022-11-04
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