An optimal method for identification of finger vein using supervised learning-Reference-Cited by-同舟云学术

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An optimal method for identification of finger vein using supervised learning

Published:2023-02 Issue: Volume:25 Page:100583
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Shakil Samiya,Arora Deepak,Zaidi Taskeen

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference72 articles.

1. Features extraction in images on finger veins with hybrid curves;Vasquez,2017

2. Discriminative binary descriptor for finger vein recognition;Liu;IEEE Access,2018

3. Finger vein recognition based on deep learning;Liu,2017

4. Vascular pattern analysis towards pervasive palm vein authentication;Bhattacharyya;J. Univers. Comput. Sci.,2009

5. Features extraction in images on finger veins with hybrid curves;Vasquez,2017

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2. Simplifying vein detection for intravenous procedures: A comparative assessment through near‐infrared imaging system;International Journal of Imaging Systems and Technology;2024-03-29

3. An optimized deep learning based depthwise separable MobileNetV3 approach for automatic finger vein recognition system;Multimedia Tools and Applications;2024-01-15

4. Multimodal Biometrics Classification Using Long Short Term Memory with Sigmoid Functions;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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