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

Jegoon Ryu, Sei Ichiro Kamata

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
出版社European Signal Processing Conference, EUSIPCO
ページ1787-1790
ページ数4
ISBN(印刷版)9781467310680
出版ステータスPublished - 2012
イベント20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Romania
継続期間: 2012 8 272012 8 31

出版物シリーズ

名前European Signal Processing Conference
ISSN(印刷版)2219-5491

Conference

Conference20th European Signal Processing Conference, EUSIPCO 2012
CountryRomania
CityBucharest
Period12/8/2712/8/31

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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