Multi-finger knuckle recognition from video sequence: Extracting accurate multiple finger knuckle regions

Daichi Kusanagi, Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a multi-finger knuckle recognition system and proposes a finger knuckle region extraction algorithm from a video sequence. The use of video sequences makes it possible to achieve stable and robust finger knuckle region extraction, since the optimal image frame can be selected from a set of image frames to extract a region to be matched for each finger. Through a set of experiments, we demonstrate that the extraction rates of the proposed algorithm are 96.4%, 99.4%, 97.6% and 96.4% for index, middle, ring and little fingers, respectively, which are acceptable in practice. The result indicates that four fingers can be used for person authentication in most cases. We also demonstrate that the use of multiple finger knuckle regions exhibits efficient performance for person authentication.

Original languageEnglish
Title of host publicationIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479935840
DOIs
Publication statusPublished - 2014 Dec 23
Event2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014 - Clearwater, United States
Duration: 2014 Sep 292014 Oct 2

Other

Other2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014
CountryUnited States
CityClearwater
Period14/9/2914/10/2

ASJC Scopus subject areas

  • Biotechnology

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    Kusanagi, D., Aoyama, S., Ito, K., & Aoki, T. (2014). Multi-finger knuckle recognition from video sequence: Extracting accurate multiple finger knuckle regions. In IJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics [6996236] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BTAS.2014.6996236