Personal authentication based on vascular pattern using finger vein biometric

被引:2
|
作者
Sharma, Sapna [1 ]
Agrawal, Shilpy [1 ]
机构
[1] GD Goenka Univ, Sch Engn, Dept Comp Sci & Engn, Gurgaon 122103, Haryana, India
关键词
Biometric; Finger vein; Authentication; Image enhancement; Database; Feature extraction;
D O I
10.1080/09720529.2021.1932900
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Information is a key asset of an organization. In order to maintain the security of a system, biometric authentication is useful in various applications such as online banking, aadhaar linking, and immigration control, e-voting. The main objective of this paper is to analyze the vascular pattern-based finger vein biometric as a promising solution for user authentication, in this globally connected digital world. In this paper, we discussed different user authentication mechanisms, authentication factors and some significant tools available for authentication. It also provides the review of processing stages of finger vein authentication such as image acquisition, image preprocessing, image enhancement, feature extraction and matching. It also gives detailed information related to publicly available finger vein databases developed in different universities for research work. In near future, due to the development of new technologies finger vein will become the most commonly used authentication method.
引用
收藏
页码:1167 / 1178
页数:12
相关论文
共 50 条
  • [1] A Biometric Authentication System Based on Finger Vein Recognition
    Sapkale, Manisha
    Rajbhoj, S. M.
    [J]. 2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 3, 2015, : 171 - 174
  • [2] Finger-Vein as a Biometric-Based Authentication
    Liu, Chun-Yu
    Ruan, Shanq-Jang
    Lai, Yu-Ren
    Yao, Chih-Yuan
    [J]. IEEE CONSUMER ELECTRONICS MAGAZINE, 2019, 8 (06) : 29 - 34
  • [3] Multimodal biometric authentication based on the fusion of finger vein and finger geometry
    Kang, Byung Jun
    Park, Kang Ryoung
    [J]. OPTICAL ENGINEERING, 2009, 48 (09)
  • [4] Finger Vein and Finger Texture based Biometric approach for Personal Identification
    Shaila, S. G.
    Avani, V. Suma
    Rashmi
    Vadivel, A.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017), 2017, : 527 - 531
  • [5] Biometric Personal Authentication Using Images of Forearm Vein Patterns
    Choras, Ryszard S.
    [J]. 2017 INTERNATIONAL CONFERENCE ON SIGNALS AND SYSTEMS (ICSIGSYS), 2017, : 40 - 43
  • [6] An Efficient Biometric Based Personal Authentication System Using Finger Knuckle Prints Features
    Chaa, Mourad
    Boukezzoula, Naceur-Eddine
    Meraoumia, Abdallah
    Korichi, Maarouf
    [J]. 2016 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY FOR ORGANIZATIONS DEVELOPMENT (IT4OD), 2016,
  • [7] A study of finger vein biometric for personal identification
    Mulyono, David
    Jinn, Horng Shi
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON BIOMETRICS AND SECURITY TECHNOLOGIES, 2008, : 134 - 141
  • [8] Information fusion in personal biometric authentication based on the iris pattern
    Wang, Fenghua
    Han, Jiuqiang
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2009, 20 (04)
  • [9] Exploring finger vein based personal authentication for secure IoT
    Lu, Yu
    Wu, Shiqian
    Fang, Zhijun
    Xiong, Naixue
    Yoon, Sook
    Park, Dong Sun
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 77 : 149 - 160
  • [10] Extraction and Authentication of Biometric Finger Vein using Gradient Boosted Feature Algorithm
    Kalaimathi, P.
    Ganesan, V.
    [J]. 2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1, 2016, : 723 - 726