An approach to hand biometrics in mobile devices

被引:0
|
作者
Alberto de Santos Sierra
Carmen Sánchez-Ávila
Aitor Mendaza Ormaza
Javier Guerra Casanova
机构
[1] Centro de Domótica Integral,Group of Biometrics, Biosignals and Security
[2] Universidad Politécnica de Madrid,University Group for Identification Technologies (GUTI)
[3] Universidad Carlos III de Madrid,undefined
来源
关键词
Contact-less hand biometrics; Mobile devices; Support vector machines; Security; Segmentation;
D O I
暂无
中图分类号
学科分类号
摘要
This paper focuses on hand biometrics applied to images acquired from a mobile device. The system offers the possibility of identifying individuals based on features extracted from hand pictures obtained with a low-quality camera embedded on a mobile device. Furthermore, the acquisitions have been carried out regardless illumination control, orientation, distance to camera, and similar aspects. In addition, the whole system has been tested with an owned database. Finally, the results obtained (6.0% ± 0.2) and the algorithm structure are both promising in relation to a posterior mobile implementation.
引用
收藏
页码:469 / 475
页数:6
相关论文
共 50 条
  • [41] Biometrics with eigen-hand
    Tantachun, S.
    Pintavirooj, C.
    Lertprasart, Polsart
    Bunluechokchai, S.
    ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS, 2006, : 1179 - 1182
  • [43] Interacting with Mobile Devices by Fusion Eye and Hand Gestures Recognition Systems Based on Decision Tree Approach
    Elleuch, Hanene
    Wali, Ali
    Samet, Anis
    Alimi, Adel M.
    NINTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2016), 2017, 10341
  • [44] Fusion of Face and Iris Biometrics on Mobile Devices Using Near-infrared Images
    Zhang, Qi
    Li, Haiqing
    Zhang, Man
    He, Zhaofeng
    Sun, Zhenan
    Tan, Tieniu
    BIOMETRIC RECOGNITION, CCBR 2015, 2015, 9428 : 569 - 578
  • [46] Dorsal hand vein biometrics with a novel deep learning approach for person identification
    Babalola, Felix Olanrewaju
    Bitirim, Yiltan
    Toygar, Onsen
    ACTA SCIENTIARUM-TECHNOLOGY, 2023, 45
  • [47] Feature identification and classification of hand based biometrics through ensemble learning approach
    Shakil S.
    Arora D.
    Zaidi T.
    Measurement: Sensors, 2023, 25
  • [48] Vision Based Hand Gesture Recognition for Mobile Devices: A Review
    Lahiani, Houssem
    Kherallah, Monji
    Neji, Mahmoud
    PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS 2016), 2017, 552 : 308 - 318
  • [49] CLASSIFICATION OF HOLDING HAND FOR DYNAMIC INTERFACE ADJUSTMENT ON MOBILE DEVICES
    Hsu, Shih-Han
    Cheng, Hsu-Yung
    Yu, Chih-Chang
    2014 IEEE 3RD GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), 2014, : 112 - 114
  • [50] Implementation and Evaluation of a Control System for a Hand Exoskeleton on Mobile Devices
    Koch, Sebastian
    Ableitner, Tobias
    Zimmermann, Gottfried
    COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, ICCHP-AAATE 2022, PT II, 2022, : 411 - 419