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Open AccessJournal ArticleDOI

A Review of Finger-Vein Biometrics Identification Approaches

TLDR
The approaches taken from other researches on preprocessing, feature extraction and classification stage specifically for recognizing individual identity for biometrics trait using finger-vein are discussed.
Abstract
Biometrics trait using finger-vein has attracted numerous attention from researchers all over the world since the last decade. Various approaches have been proposed in regard to improving the accuracy of identification result. This paper discusses on the approaches taken from other researches on preprocessing, feature extraction and classification stage specifically for recognizing individual identity. The strengths and weaknesses of these approaches are critically reviewed. The classification approach using machine learning method is highlighted to determine the future direction and to fill the research gap in this field.

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Citations
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Journal ArticleDOI

A Systematic Review of Finger Vein Recognition Techniques

TL;DR: The comparative studies indicate that the accuracy of finger vein identification methods is up to the mark, and some novel findings are listed after the critical comparative analysis of the highlighted techniques.
Journal ArticleDOI

Simulation and Analysis of Lead based Perovskite Solar Cell using SCAPS-1D

TL;DR: In this paper, a lead-based perovskite solar cell model with the flexible architecture of lass/FTO/PCBM/CH3NH3PbI3/PEDOT:PSS/Ag.
Journal ArticleDOI

Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities

- 01 Mar 2022 - 
TL;DR: In this article , a review of the recent research landscape in biometric finger vein recognition systems is presented, focusing on manuscripts related to keywords "Finger Vein Authentication System", "Anti-spoofing or Presentation Attack Detection", "Multimodal Biometric Finger Vein authentication", and their variations in four main digital research libraries such as IEEE Xplore, Springer, ACM, and Science Direct.
Journal ArticleDOI

Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities

TL;DR: In this paper, a review of the recent research landscape in biometric finger vein recognition systems is presented, focusing on manuscripts related to keywords "Finger Vein Authentication System", "Anti-spoofing or Presentation Attack Detection", "Multimodal Biometric Finger Vein authentication", and their variations in four main digital research libraries such as IEEE Xplore, Springer, ACM, and Science Direct.
References
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Journal ArticleDOI

Human Identification Using Finger Images

TL;DR: A new approach to improve the performance of finger-vein identification systems presented in the literature is presented and two new score-level combinations are developed and investigated, i.e., holistic and nonlinear fusion.
Book ChapterDOI

SDUMLA-HMT: a multimodal biometric database

TL;DR: The acquisition and content of a new homologous multimodal biometric database are presented and the database is available to research community through http://mla.sdu.edu.cn/sdumla-hmt.
Journal ArticleDOI

Finger Vein Recognition Using Local Line Binary Pattern

TL;DR: Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP).
Journal ArticleDOI

New Finger Biometric Method Using Near Infrared Imaging

Eui Chul Lee, +2 more
- 24 Feb 2011 - 
TL;DR: A new finger biometric method that uses a modified Gaussian high-pass filter to extract binary patterns of finger images that include the multimodal features of veins and finger geometries.
Proceedings ArticleDOI

A high quality finger vascular pattern dataset collected using a custom designed capturing device

TL;DR: This dataset is unique in its kind as the images are of high resolution and have a known pixel density, and it is the first dataset which contains the age, gender and handedness of the participating volunteers as meta data.
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