Multimodal Biometric Systems

被引:0
作者
Taouche, Cherif [1 ]
Berkane, Mohamed [1 ]
Batouche, Mohamed C. [2 ]
Taleb-Ahmed, Abdelmalik [3 ]
机构
[1] Univ Oum El Bouaghi, Dept Math & Comp Sci, Oum El Bouaghi, Algeria
[2] Univ Constantine 2, Dept Comp Sci, Constantine, Algeria
[3] Univ Valenciennes & Hainaut Cambresis, LAMIH Lab, Valenciennes, France
来源
2014 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS) | 2014年
关键词
Biometrics; Unimodal Biometrics; Multimodal Biometrics; Fusion level; Multimodal biometric Databases; LEVEL FUSION; FACE;
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 is a unique, measurable physiological or behavioral characteristic of a person. The biometric system is one such that can provide accurate and reliable scheme for person verification and authentication. Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, nonuniversality, spoof attacks, and unacceptable error rates. Several of these problems can be addressed by deploying multimodal biometric systems that combine two or more biometric modalities. By combining multiple sources of information, these systems improve matching performance, increase population coverage, deter spoofing, and facilitate indexing. Different scenarios and fusion levels are possible and different integration strategies can be adopted to consolidate information in multi modal systems.
引用
收藏
页码:301 / 308
页数:8
相关论文
共 50 条
  • [41] Multimodal Biometric systems by Fusion of Palmprint and Finger-Knuckle-Print Using Hidden Markov Model
    Meraoumia, Abdallah
    Chitroub, Salim
    Bouridane, Ahmed
    2013 IEEE 20TH INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS), 2013, : 421 - 424
  • [42] A Standoff Multimodal Biometric System
    Boehnen, Chris
    Mann, Chris
    Patlolla, Dilip
    Barstow, Del
    2011 FUTURE OF INSTRUMENTATION INTERNATIONAL WORKSHOP (FIIW), 2011,
  • [43] An intelligent multimodal biometric system for high security access
    Maheswari, S. Uma
    Anbalagan, P.
    INTERNATIONAL JOURNAL OF BIOMETRICS, 2010, 2 (03) : 295 - 311
  • [44] Multimodal Biometric Recognition Using Iris and Face Features
    Alshebli, Sulaiman
    Kurugollu, Fatih
    Shafik, Mahmoud
    ADVANCES IN MANUFACTURING TECHNOLOGY XXXIV, 2021, 15 : 254 - 262
  • [45] Multimodal Biometric-Based Authentication with Secured Templates
    Choudhary, Swati K.
    Naik, Ameya K.
    INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2021, 21 (02)
  • [46] Feature based RDWT watermarking for multimodal biometric system
    Vatsa, Mayank
    Singh, Richa
    Noore, Afzel
    IMAGE AND VISION COMPUTING, 2009, 27 (03) : 293 - 304
  • [47] An Efficient Human Identification through MultiModal Biometric System
    Meena, K.
    Malarvizhi, N.
    BRAZILIAN ARCHIVES OF BIOLOGY AND TECHNOLOGY, 2016, 59
  • [48] Continuous Multimodal Biometric Authentication Schemes: A Systematic Review
    Ryu, Riseul
    Yeom, Soonja
    Kim, Soo-Hyung
    Herbert, David
    IEEE ACCESS, 2021, 9 : 34541 - 34557
  • [49] A Context-Aware Multimodal Biometric Authentication for Cloud-Empowered Systems
    Mansour, Abdeljebar
    Sadik, Mohamed
    Sabir, Essaid
    Azmi, Mohamed
    2016 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM), 2016, : P278 - P285
  • [50] Biometric template protection in multimodal authentication systems based on error correcting codes
    Argyropoulos, Savvas
    Tzovaras, Dimitrios
    Ioannidis, Dimosthenis
    Damousis, Yannis
    Strintzis, Michael G.
    Braun, Martin
    Boverie, Serge
    JOURNAL OF COMPUTER SECURITY, 2010, 18 (01) : 161 - 185