A Review of Finger-Vein Biometrics Identification Approaches
K. Syazana-Itqan,A. R. Syafeeza,Norhashimah Mohd Saad,Norihan Abdul Hamid,Wira Hidayat Mohd Saad +4 more
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.read more
Citations
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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.
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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.
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Finger Vein Biometrics: Taxonomy Analysis, Open Challenges, Future Directions, and Recommended Solution for Decentralised Network Architectures
A. H. Mohsin,Nawar S. Jalood,M. Baqer,A.H. Alamoodi,E. M. Almahdi,Ahmed Shihab Albahri,M. A. Alsalem,K. I. Mohammed,Hussein Ali Ameen,Salem Garfan,A. A. Zaidan,B. B. Zaidan,Osamah Shihab Albahri,Shamsul Arrieya Ariffin,Ahmed Alemran,Odai Enaizan,Ali. H. Shareef,Ali Najm Jasim +17 more
TL;DR: A review is conducted to deeply analyse and map the research landscape of current technologies in finger vein (FV) biometric authentication in medical systems into a coherent taxonomy, thereby enabling researchers and developers to develop FV biometrics authentication medical systems further.
Journal ArticleDOI
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities
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
Kashif Shaheed,Aihua Mao,Imran Qureshi,Imran Qureshi,Munish Kumar,Sumaira Hussain,Xingming Zhang +6 more
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
Ajay Kumar,Yingbo Zhou +1 more
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
Yilong Yin,Lili Liu,Xiwei Sun +2 more
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
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.