Query: Finger vein authentication technology and its future

Candidate papers:

abstract: In this paper, finger vein authentication, a new biometric method utilizing the vein patterns inside one's fingers for personal identification, is introduced. Vein patterns are different for each finger and for each person, and as they are hidden underneath the skin's surface, forgery is extremely difficult. These unique aspects of finger vein pattern recognition set it apart from previous forms of biometrics and have led to its adoption by the major Japanese financial institutions as their newest security technology. This paper discusses the technology and applications of finger vein authentication, as well as the importance of semiconductor devices in its future development
author_names: J Hashimoto
title: Finger Vein Authentication Technology and Its Future
venue: 2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers.
year: 2006

abstract: Finger vein authentication is one of the most accurate and reliable biometric technologies, which is widely employed in mission critical applications such as financial transactions. Section 6.1 describes the advantages of finger vein authentication as well as a brief history of the technology. Section 6.2 covers the overview of the hardware by taking an example of a commercial finger vein authentication device. Section 6.3 features the imaging technology and the matching algorithm employed by the commercial model. Section 6.4 explains two performance evaluation results based on internationally recognised biometric testing standards. Sections 6.5 and 6.6 illustrate the actual implementations of the technology in both general and financial applications. Conclusion and future plans are described in
author_names: Mitsutoshi Himaga

Katsuhiro Kou
title: Finger Vein Authentication Technology and Financial Applications
year: 2008

abstract: Hiroyuki Suzuki1, Jumpei Nagata1, Kazuki Hirai1, Keiichiro Kagawa2, Takashi Obi1, Nagaaki Ohyama1, Takashi Komuro3 1 Laboratory for Future Interdisciplinary Research of Science and Technology, Tokyo Institute of Technology 4259 Nagatsutacho Midoriku Yokohama, 226 8503 Japan 2 Research Institute of Electronics, Shizuoka University 3 5 1 Johoku, Hamamatsu, 432 8011 Japan 3 Graduate School of Science Engineering, Saitama University Shimo Okubo 255, Sakura ku, Saitama shi, 338 8570 Japan E mail:hiroyuki@isl.titech.ac.jp
author_names: Suzuki Hiroyuki

Nagata Jumpei

Hirai Kazuki

Kagawa Keiichiro

Obi Takashi

Ohyama Nagaaki

Komuro Takashi
title: Improvement of Imaging system for hand waving finger vein authentication
year: 2018

abstract: Information security has become an indivisible part of the emerging Information and Communication Technology [ICT] applications. In particular, authentication plays an extremely important role in dealing with security. A review on the biometric authentication techniques and few future possibilities in the fields of Information security is presented in this work. The basis of biometrics is that an individual is identifiable by a few characteristic and physiological parameters. To affirm or determine the identity of any particular individual, most of the systems require personal recognition schemes which are distinctive and equally reliable. This assures the authentication of the people requesting their services. This ensures that only legitimate users can access the services and not anyone else. The use of biometrics also allows to establish or approve an individual's identity. The position of biometrics in the present field of security can be deduced from this work. This paper outlines a comparison between three different techniques and their advantages and disadvantages over each other. Comparing these three techniques, we were able to deduce that the finger vein recognition system showed a good balance in every aspect.
author_names: Sarah Ali Khan

Sameena Naaz
title: Comparative Analysis of Finger Vein, Iris and Human Body Odor as Biometric Approach in Cyber Security System
venue: 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
year: 2020

abstract: In this Paper, Finger vein authentication is used to ensure the user identity. Finger vein technology, is one of the fastest growing method in the Biometrics. Vein patterns are different for each and ever person also they are hidden under the skins surface. Since they are situated inside forgery is extremely difficult. Near IR rays are passed through the finger and the hemoglobin pigments inside the blood blocked the rays and the patterns of vein are captured at the other side via Image sensor. HausdThorff distance technique is used to extract the Skelton pattern from the vein image. This paper discusses the utilization of Minutiae feature points in the verification tasks as geometric representation of vein pattern shape. Also discusses the technology and applications of finger vein authentication, as well as the importance of authentication in its future development.
author_names: Momodu Ibrahim

Faris S Al-Namiy

M Marsaline Beno

L Rajaji
title: Biometric authentication for secured transaction using finger vein technology
year: 2011

abstract: Finger vein authentication is a new biometric method utilizing the vein patterns inside one's fingers for personal identity verification. Vein patterns are different for each finger and for each person; and as they are hidden underneath the skin's surface, forgery is extremely difficult. These unique aspects of finger vein pattern recognition set it apart from previous forms of biometrics and have led to its adoption by the major Japanese financial institutions as their newest security technology. This white paper discusses the origins, features, technology, applications and future development of finger vein authentication. Originally, the motivation to develop finger vein pattern recognition technology was born of Hitachi's advanced research to measure brain function activity in the field of medical science. In that research, near infrared light was used to observe the increase in blood flow and was found to be applicable to recognition of the finger vein pattern. As finger vein patterns differ for each finger and for each person, Hitachi thus discovered that finger vein pattern recognition is a viable biometric personal authentication technology for the commercial market. In the first phase (1997 2000) Hitachi developed its original light transmission technology for finger vein biometric authentication. As opposed to light reflection, whereby a captured image is taken from light reflected off the surface of the skin, light transmission captures a vein pattern image from light that passes through the surface of the skin (see Section 4 for details) In the second phase (2000 2003) the technology was adapted into product form, and the first physical access control system was developed and released in 2002. In 2002 research began on the logical access systems, with commercialization in Japan beginning in 2004. Hitachi developed ATM applications in 2004 and commercialized them in 2005. Finger vein authentication technology has thrived in the Japanese financial sector, with major banks in Japan employing it for ATM end user verification. The basic principle on which the finger vein authentication system is based is shown in Fig. 2. Near infrared rays generated from a bank of LEDs (light emitting diodes) penetrate the finger and are absorbed by the hemoglobin in the blood. The areas in which the rays are absorbed (i.e. veins) thus appear as dark areas in an image taken by a CCD camera located on the opposite side of the finger. Image processing can then construct a finger vein pattern from the camera image. This pattern is compressed and digitized so
title: Finger Vein Authentication White Paper

abstract: With the development of shopper physical science, the demand for straightforward, convenient, and high security authentication systems for protective personal info hold on in mobile devices has steady exaggerated. In thought of rising necessities for info protection, biometrics, that uses human physiological or activity options for private identification, has been extensively studied as an answer to security problems. However, most existing biometric systems have high complexness in time or house or each, and are so not appropriate for mobile devices. there's an extended list of accessible biometric patterns, as well as face, iris, finger print, palm print, hand shape, voice, signature and gait. joined of the most stream branches, Vein recognition bioscience could be a significantly spectacular and promising technology. This study presents a survey of finger vein recognition techniques. The merits, basic working rule, key techniques, performance analysis metrics, application field and future trends are extensively analyzed. per the theoretical analysis report in literatures and business utilization experiences, vein recognition has been proven to be associate degree effective, extremely secure and reliable selection of high exactness among all accessible biometric techniques. during this paper we have a tendency to had planned to implement the Finger Vein Recognition idea mistreatment MATLAB R2013a. The options used are Lacunareity Distance, Blanket Dimension distance, SURF (Speeded Up strong Feature) and Hareris corners, that has additional accuracy in comparison to standard strategies. Keywords bioscience, Personal identification, Finger vein recognition. ____________________________________________________________________________________________________________________
author_names: S Aparna
title: A Novel Approach For Finger Vein Recognition Technique For Private Identification And Verification
year: 2014

abstract: Biometric technology will soon be the norm in the banking sector. According to Acuity Market Intelligence 1 physical credentials such as cash and bank cards will disappear over the next decade or so as the uptake of 'virtual credentials' iris, voice, finger vein becomes entrenched by 2030. By 2025, Acuity predicts that standard authentication for trillions of transactions will be biometric. Overall, the reason for this is that while the public recognises that data security is increasingly important, they worry that passwords and PINs are not fraud proof and biometrics answers this by delivering a faster, easier and more secure authentication process. More specifically, biometric technology adoption is accelerating because of a shift away from external feature recognition towards internal (for example, from voice to vein recognition) which offers a more streamlined and palatable customer experience.
author_names: Ravi Ahluwalia
title: Banking's biometric future
year: 2016

abstract: 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. This research focuses on articles related to the keywords 'biometrics' 'finger veins' and 'verification' and their variations in three major databases, namely, Web of Science, ScienceDirect and IEEE Xplore. The final set of collected articles related to FV biometric authentication systems is divided into software and hardware based systems. In the first category, software development attempts are described. The experiment results, frameworks, algorithms and methods that perform satisfactorily are presented. Moreover, the experiences obtained from conducting these studies are discussed. In the second category, hardware development attempts are described. The final articles are discussed from three aspects, namely, (1) number of publications, (2) problem type, proposed solutions, best results and evaluation methods in the included studies and (3) available databases containing different scientific work collected from volunteers, such as staff and students. The basic characteristics of this emerging field are identified from the following aspects: motivations of using FV biometric technology in authentication systems, open challenges that impede the technology's utility, authors' recommendations and future research prospects. A new solution is proposed to address several issues, such as leakage of biometrics that leads to serious risks due to the use of stolen FV templates and various spoofing and brute force attacks in decentralised network architectures in medical systems, including access points and various database nodes without a central point. This work contributes to literature by providing a detailed review of feasible alternatives and research gaps, thereby enabling researchers and developers to develop FV biometric authentication medical systems further. Insights into the importance of such a technology and its integration into different medical applications and fields are also provided.
author_names: A H Mohsin

N S Jalood

M J Baqer

Abdullah Hussein Alamoodi

E M Almahdi

A S Albahri

M A Alsalem

K I Mohammed

Hussein Ali Ameen

Salem Garfan

A A Zaidan

Bilal Bahaa Zaidan

Osamah Shihab Albahri

Shamsul Arrieya Bin Ariffin

Ahmed Alemran

Odai Enaizan

Ali H Shareef

Ali Najm Jasim
title: Finger Vein Biometrics: Taxonomy Analysis, Open Challenges, Future Directions, and Recommended Solution for Decentralised Network Architectures
venue: IEEE Access
year: 2020

abstract: Over the years Biometric authentication system has gained widespread popularity due to the rising need for personal identification and security. The most common biometric features used in authentication systems are fingerprint, iris, hand geometry, retina, finger vein, palm vein, and voice pattern. Among them, finger vein biometric recognition system might soon surge ahead for its many advantages, such as high identification accuracy, non invasive technology, and little to no possibility of being duplicated or forged. After being motivated by the apparent benefits of finger vein authentication, many researchers have tried to develop a working model with improved performance. Since, deep learning has the ability to solve complex problems that require discovering hidden patterns in structured data and understanding intricate relationships between a large number of interdependent variables, many deep learning models were created for feature extraction and classification purposes. In this paper, existing research works of finger vein authentication based on deep learning models have been assembled and summarized. In addition, the accuracy and performance of the approaches have been highlighted to give a future direction for further research.
author_names: Fariha Elahee

Farhana Mim

Faizah Binte Naquib

Sharika Tabassom

Tonmoy Hossain

Kazi A Kalpoma
title: Comparative Study of Deep Learning based Finger Vein Biometric Authentication Systems
venue: 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT)
year: 2020