A survey of biometric recognition methods

被引:0
|
作者
Delac, K [1 ]
Grgic, M [1 ]
机构
[1] HT Croatian Telecom, Carrier Serv Dept, Zagreb, Croatia
关键词
biometrics; multimodal biometrics; recognition; verification; identification; security;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Biometric recognition refers to an automatic recognition of individuals based on a feature vector(s) derived from their physiological and/or behavioral characteristic. Biometric recognition systems should provide a reliable personal recognition schemes to either confirm or determine the identity of an individual. Applications of such a system include computer systems security, secure electronic banking, mobile phones, credit cards, secure access to buildings, health and social services. By using biometrics a person could be identified based on "who she/he is" rather then "what she/he has" (card, token, key) or "what shelhe knows" (password, PIN). In this paper, a brief overview of biometric methods, both unimodal and multimodal, and their advantages and disadvantages, will be presented.
引用
收藏
页码:184 / 193
页数:10
相关论文
共 50 条
  • [1] Biometric Antispoofing Methods: A Survey in Face Recognition
    Galbally, Javier
    Marcel, Sebastien
    Fierrez, Julian
    IEEE ACCESS, 2014, 2 : 1530 - 1552
  • [2] Advances in the biometric recognition methods: A survey on iris and fingerprint recognition
    Zaeri, Naser
    Alkoot, Fuad
    SECOND INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING, 2010, 7546
  • [3] Biometric Recognition Databases: A Survey
    Zhang, Xinman
    Gong, Weiyong
    Xu, Xuebin
    Zhang, Yuchen
    PROCEEDINGS OF 2018 VII INTERNATIONAL CONFERENCE ON NETWORK, COMMUNICATION AND COMPUTING (ICNCC 2018), 2018, : 77 - 81
  • [4] A Survey of Advances in Biometric Gait Recognition
    Zhang, Zhaoxiang
    Hu, Maodi
    Wang, Yunhong
    BIOMETRIC RECOGNITION: CCBR 2011, 2011, 7098 : 150 - 158
  • [5] Biometric recognition in surveillance scenarios: a survey
    João Neves
    Fabio Narducci
    Silvio Barra
    Hugo Proença
    Artificial Intelligence Review, 2016, 46 : 515 - 541
  • [6] Biometric recognition in surveillance scenarios: a survey
    Neves, Joao
    Narducci, Fabio
    Barra, Silvio
    Proenca, Hugo
    ARTIFICIAL INTELLIGENCE REVIEW, 2016, 46 (04) : 515 - 541
  • [7] A Survey on Fingerprint Biometric Recognition System
    Rathod, Varsha J.
    Iyer, Nalini C.
    Meena, S. M.
    2015 INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND INTERNET OF THINGS (ICGCIOT), 2015, : 323 - 326
  • [8] A Survey of Wearable Biometric Recognition Systems
    Blasco, Jorge
    Chen, Thomas M.
    Tapiador, Juan
    Peris-Lopez, Pedro
    ACM COMPUTING SURVEYS, 2016, 49 (03)
  • [9] Federated learning for biometric recognition: a survey
    Guo, Jian
    Mu, Hengyu
    Liu, Xingli
    Ren, Hengyi
    Han, Chong
    ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (08)
  • [10] Biometric Authentication Methods on Smartphones: A Survey
    Spolaor, Riccardo
    Li, QianQian
    Monaro, Merylin
    Conti, Mauro
    Gamberini, Luciano
    Sartori, Giuseppe
    PSYCHNOLOGY JOURNAL, 2016, 14 (2-3): : 87 - 98