A Bimodal Biometric Identification System

被引：0
|
作者：
Laghari, Mohammad Shakeel [1 ]
Khuwaja, Gulzar Ali [2 ]
机构：
[1] United Arab Emirates Univ, Dept Elect Engn, Al Ain, U Arab Emirates
[2] King Faisal Univ, Dept Comp Engn, Al Hasa, Saudi Arabia
来源：
INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2012) | 2013年 / 8768卷
关键词：
Pattern recognition; computer vision; adaptive classification; bimodal biometric identification; FUSION;
D O I：
10.1117/12.2011302
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Biometrics consists of methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits. Physicals are related to the shape of the body. Behavioral are related to the behavior of a person. However, biometric authentication systems suffer from imprecision and difficulty in person recognition due to a number of reasons and no single biometrics is expected to effectively satisfy the requirements of all verification and/or identification applications. Bimodal biometric systems are expected to be more reliable due to the presence of two pieces of evidence and also be able to meet the severe performance requirements imposed by various applications. This paper presents a neural network based bimodal biometric identification system by using human face and handwritten signature features.
引用
收藏
页数：5
相关论文
共 50 条
  • [41] A Biometric Identification System Based on Heart Sound Signal
    Tao Ye-wei
    Sun Xia
    Zhang Hui-xiang
    Wu Wei
    3RD INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTION, 2010, : 67 - 75
  • [42] An Adaptive Fuzzy Multimodal Biometric System for Identification and Verification
    Ghayoumi, Mehdi
    Ghazinour, Kambiz
    2015 IEEE/ACIS 14TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS), 2015, : 137 - 141
  • [43] Embedded System for Biometric Identification Based On Iris Detection
    Rosli, Ahmad Nasir Che
    Ahmad, R. Badlishah
    Shakaff, Ali Yeon Md
    Rizon, Mohamed
    ICED: 2008 INTERNATIONAL CONFERENCE ON ELECTRONIC DESIGN, VOLS 1 AND 2, 2008, : 783 - +
  • [44] A New Biometric Identification System Based on Plantar Pressure
    Girao, Natalia Soares
    Muller, Marcia
    Ramos de Arruda, Lucia Valeria
    IEEE SENSORS JOURNAL, 2023, 23 (15) : 16900 - 16906
  • [45] An biometric identification system by extracting hand vein patterns
    Im, SK
    Park, HM
    Kim, YW
    Han, SC
    Kim, SW
    Kang, CH
    Chung, CK
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2001, 38 (03) : 268 - 272
  • [46] Biometric Personal Identification System using the ECG Signal
    Rabhi, Emna
    Lachiri, Zied
    2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), 2013, 40 : 507 - 510
  • [47] Multi-tasks Biometric System for Personal Identification
    Attallah, Omneya
    2019 22ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (IEEE CSE 2019) AND 17TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (IEEE EUC 2019), 2019, : 110 - 114
  • [48] Biometric Personal Identification System using Biomedical Sensors
    Alonso, Alain D. Diaz
    Travieso, Carlos M.
    Alonso, Jesus B.
    Dutta, Malay Kishore
    Singh, Anushikha
    2016 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND INTELLIGENT SYSTEMS (CCIS), 2016, : 104 - 109
  • [49] Biometric Identification System Based on Principal Component Analysis
    Lionnie, Regina
    Alaydrus, Mudrik
    2016 12TH INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS, AND THEIR APPLICATIONS (ICMSA), 2016, : 59 - 63
  • [50] Modelling errors in a biometric re-identification system
    DeCann, Brian
    Ross, Arun
    IET BIOMETRICS, 2015, 4 (04) : 209 - 219
12345