Individual authentication through hand posture recognition using Multi-Hilbert Scanning Distance

Jegoon Ryu, Seiichiro Kamata

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

Abstract

In this paper, we propose a novel Hand Posture Recognition (HPR) for biometrics. This study uses the three dimensional point clouds for robust hand posture recognition at the rotation and scale. Multi-Hilbert Scanning Distance (MHSD) are also introduced for mathematical approaches of shape matching. HPR framework is divided into five parts: detecting hand region, removing the wrist, aligning the hand pose, extracting feature descriptor, and matching. Based on the experimental results, this framework showed superior results for hand posture recognition rate.

Original languageEnglish
Title of host publicationEuropean Signal Processing Conference
Pages1787-1790
Number of pages4
Publication statusPublished - 2012
Event20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest
Duration: 2012 Aug 272012 Aug 31

Other

Other20th European Signal Processing Conference, EUSIPCO 2012
CityBucharest
Period12/8/2712/8/31

Fingerprint

Palmprint recognition
Authentication
Scanning
Biometrics

Keywords

  • Biometrics
  • Hand Posture Recognition (HPR)
  • Hilbert Scanning
  • Multi-Hilbert Scanning Distance (MHSD)

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Ryu, J., & Kamata, S. (2012). Individual authentication through hand posture recognition using Multi-Hilbert Scanning Distance. In European Signal Processing Conference (pp. 1787-1790). [6334165]

Individual authentication through hand posture recognition using Multi-Hilbert Scanning Distance. / Ryu, Jegoon; Kamata, Seiichiro.

European Signal Processing Conference. 2012. p. 1787-1790 6334165.

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

Ryu, J & Kamata, S 2012, Individual authentication through hand posture recognition using Multi-Hilbert Scanning Distance. in European Signal Processing Conference., 6334165, pp. 1787-1790, 20th European Signal Processing Conference, EUSIPCO 2012, Bucharest, 12/8/27.
Ryu J, Kamata S. Individual authentication through hand posture recognition using Multi-Hilbert Scanning Distance. In European Signal Processing Conference. 2012. p. 1787-1790. 6334165
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