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
  • [21] A Framework for Multimodal Biometric Authentication Systems With Template Protection
    Goh, Zheng Hui
    Wang, Yandan
    Leng, Lu
    Liang, Shiuan-Ni
    Jin, Zhe
    Lai, Yen-Lung
    Wang, Xin
    IEEE ACCESS, 2022, 10 : 96388 - 96402
  • [22] Designing efficient fusion schemes for multimodal biometric systems using face and palmprint
    Raghavendra, R.
    Dorizzi, Bernadette
    Rao, Ashok
    Kumar, G. Hemantha
    PATTERN RECOGNITION, 2011, 44 (05) : 1076 - 1088
  • [23] A Multimodal Biometric Authentication (MBA) in Card Payment Systems
    Badovinac, Nenad
    Simic, Dejan
    2019 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: APPLICATIONS AND INNOVATIONS (IC-AIAI 2019), 2019, : 23 - 29
  • [24] An Improved Score Level Fusion in Multimodal Biometric Systems
    Horng, Shi-Jinn
    Chen, Yuan-Hsin
    Run, Ray-Shine
    Chen, Rong-Jian
    Lai, Jui-Lin
    Sentosal, Kevin Octavius
    2009 INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES (PDCAT 2009), 2009, : 239 - +
  • [25] Multimodal Biometric Person Authentication: A Review
    Sahoo, Soyuj Kumar
    Choubisa, Tarun
    Prasanna, S. R. Mahadeva
    IETE TECHNICAL REVIEW, 2012, 29 (01) : 54 - 75
  • [26] MobiBits: Multimodal Mobile Biometric Database
    Bartuzi, Ewelina
    Roszczewska, Katarzyna
    Trokielewicz, Mateusz
    Bialobrzeski, Radoslaw
    2018 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG), 2018,
  • [27] Confidence Based Rank Level Fusion for Multimodal Biometric Systems
    Talebi, Hossein
    Gavrilova, Marina L.
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT I, 2015, 9256 : 211 - 222
  • [28] Performance evaluation of score level fusion in multimodal biometric systems
    He, Mingxing
    Horng, Shi-Jinn
    Fan, Pingzhi
    Run, Ray-Shine
    Chen, Rong-Jian
    Lai, Jui-Lin
    Khan, Muhammad Khurram
    Sentosa, Kevin Octavius
    PATTERN RECOGNITION, 2010, 43 (05) : 1789 - 1800
  • [29] Security Analysis of Multimodal Biometric Systems against Spoof Attacks
    Akhtar, Zahid
    Kale, Sandeep
    ADVANCES IN COMPUTING AND COMMUNICATIONS, PT 2, 2011, 191 : 604 - +
  • [30] Effect of face and ocular multimodal biometric systems on gender classification
    Eskandari, Maryam
    Sharifi, Omid
    IET BIOMETRICS, 2019, 8 (04) : 243 - 248