Fusion of near infrared face and iris biometrics

被引：0
|
作者：
Zhang, Zhijian [1 ]
Wang, Rui [2 ]
Pan, Ke [1 ]
Li, Stan Z. [2 ]
Zhang, Peiren [1 ]
机构：
[1] Univ Sci & Technol China, Anhua 230026, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Biometr & Secur Res, Beijing 100080, Peoples R China
来源：
ADVANCES IN BIOMETRICS, PROCEEDINGS | 2007年 / 4642卷
关键词：
NIR imaging; face; iris; multimodal biometrics; score fusion;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a method for fusing face and iris biometrics using single near infrared (NIR) image. Fusion of NIR face and iris modalities is a natural way of doing multi-model biometrics because they can be acquired in a single image. An NIR face image is taken using a high resolution NIR camera. Face and iris are segmented from the same NIR image. Face and iris features are then extracted from the segmented parts. Matching of face and iris is done using the respective features. The matching scores are fused using various rules. Experiments live promising results.
引用
收藏
页码：172 / +
页数：3
相关论文
共 50 条
  • [21] Feature selection for the fusion of face and palmprint biometrics
    Mina Farmanbar
    Önsen Toygar
    Signal, Image and Video Processing, 2016, 10 : 951 - 958
  • [22] Information Fusion of Face and Palmprint Multimodal Biometrics
    Ahmad, Muhammad Imran
    Ilyas, Mohd Zaizu
    Isa, Mohd Nazrin Md
    Ngadiran, Ruzelita
    Darsono, Abdul Majid
    2014 IEEE REGION 10 SYMPOSIUM, 2014, : 635 - 639
  • [23] Feature Level Fusion of Face and Palmprint Biometrics
    Kisku, Dakshina Ranjan
    Gupta, Phalguni
    Sing, Jamuna Kanta
    STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 2010, 6218 : 512 - +
  • [24] Feature selection for the fusion of face and palmprint biometrics
    Farmanbar, Mina
    Toygar, Onsen
    SIGNAL IMAGE AND VIDEO PROCESSING, 2016, 10 (05) : 951 - 958
  • [25] Deep Feature Fusion Network Model for Iris and Periocular Biometrics
    Lei S.
    Li Y.
    Shan A.
    Zhang W.
    Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2024, 56 (03): : 240 - 248
  • [26] Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices
    Zhang, Qi
    Li, Haiqing
    Sun, Zhenan
    Tan, Tieniu
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 13 (11) : 2897 - 2912
  • [27] TOWARDS CANCELABLE MULTI-BIOMETRICS BASED ON BLOOM FILTERS: A CASE STUDY ON FEATURE LEVEL FUSION OF FACE AND IRIS
    Rathgeb, Christian
    Gomez-Barrero, Marta
    Busch, Christoph
    Galbally, Javier
    Fierrez, Julian
    2015 INTERNATIONAL WORKSHOP ON BIOMETRICS AND FORENSICS (IWBF), 2015,
  • [28] Two-stage morph detection scheme for face and iris biometrics
    Sharifi, Omid
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (27) : 43013 - 43028
  • [29] Two-stage morph detection scheme for face and iris biometrics
    Omid Sharifi
    Multimedia Tools and Applications, 2023, 82 : 43013 - 43028
  • [30] Biometrics Secured Voting System with Finger Print, Face and Iris Verification
    Kavitha, S. N.
    Shahila, K.
    Kumar, Prasanna S. C.
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2018), 2018, : 743 - 746
12345