An Overview of Multimode Biometric Recognition Technology

被引:3
|
作者
Jing, Kunlei [1 ]
Zhang, Xinman [1 ]
Xu, Xuebin [2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, MOE Key Lab Intelligent Networks & Network Secur, 28 Xianning West Rd, Xian, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Guangdong Xian Jiaotong Univ Acad, 3 Daliangdesheng East Rd, Foshan, Guangdong, Peoples R China
关键词
Multimodal biometrics; Fusion levels; Fusion methods; Application platforms; Biometric template protection;
D O I
10.1145/3301551.3301599
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
With the security requirements of information age, multimodal biometrics has been becoming the most potential technologies for identity recognition. This paper demonstrates the inevitability that multimodal biometrics replace single mode by performance comparison firstly. Then, multimodal biometrics, acquisition methods and the common sensors are listed, different fusion levels are analyzed, fusion methods are given by reference in levels. Additionally, multimodal biometrics systems in application are classified and introduced by platform, meanwhile application scenarios are showed. Finally, we conclude that multimodal biometrics technology must be the research trends, and make prospect for existing deficiencies in its research, especially template protection related to the reliability and safety of systems.
引用
收藏
页码:168 / 172
页数:5
相关论文
共 50 条
  • [31] Biometric template security: an overview
    Riaz, Naveed
    Riaz, Ayesha
    Khan, Sajid Ali
    SENSOR REVIEW, 2018, 38 (01) : 120 - 127
  • [32] Multimodal biometric databases: An overview
    Faundez-Zanuy, Marcos
    Fierrez-Aguilar, Julian
    Ortega-Garcia, Javier
    Gonzalez-Rodriguez, Joaquin
    IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2006, 21 (08) : 29 - 37
  • [33] Overview of the combination of biometric matchers
    Lumini, Alessandra
    Nanni, Loris
    INFORMATION FUSION, 2017, 33 : 71 - 85
  • [34] Biometric technology law
    Prins, Corien
    Computer Law and Security Report, 1998, 14 (03): : 159 - 165
  • [35] Biometric security technology
    Faundez-Zanuy, Marcos
    IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2006, 21 (06) : 15 - 26
  • [36] Image Recognition Based on Biometric Pattern Recognition
    Sun, Shuliang
    Chen, Zhong
    Liu, Chenglian
    Guo, Yongning
    Lin, Xueyun
    NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS, VOLS A-C, 2011, 1389
  • [37] Security system using biometric technology: Design and implementation of voice recognition system (VRS)
    Rashid, Rozeha A.
    Mahalin, Nur Hija
    Sarijari, Mohd Adib
    Aziz, Ahmad Aizuddin Abdul
    2008 INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION ENGINEERING, VOLS 1-3, 2008, : 898 - 902
  • [38] A Review of Application of Biometric Recognition Technology Based on Deep Learning in Person Searching and Rescuing
    Li, Dongjin
    Niu, Fu
    Wang, Jin
    Meng, Lingshuai
    Xu, Hongjia
    Gao, Yan
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 44 - 45
  • [39] Speech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview
    Bhat, Chitralekha
    Strik, Helmer
    JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2025, 68 (02): : 547 - 577
  • [40] Ultrasound Systems for Biometric Recognition
    Iula, Antonio
    SENSORS, 2019, 19 (10)