A system for hand gesture based signature recognition

Je Hyoung Jeon, Beom Seok Oh, Kar Ann Toh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

In this paper, we propose a user authentication system based on hand-gesture signature without the need of any handheld device. The system uses a depth image sensor to locate the fingertip and palm mass-center from detected hand region for trajectory processing. Apart from the positional information, the velocity and acceleration information are included as input features for trajectory matching. The system verification performance is evaluated in terms of equal error rate. In addition, an investigation of fusion at feature level is conducted for possible performance enhancement. Our empirical results show the potential of the proposed bare-hand in-air signature system.

Original languageEnglish
Title of host publication2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
Pages171-175
Number of pages5
DOIs
StatePublished - 2012
Event2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 - Guangzhou, China
Duration: 5 Dec 20127 Dec 2012

Publication series

Name2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

Conference

Conference2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
Country/TerritoryChina
CityGuangzhou
Period5/12/127/12/12

Keywords

  • Dynamic Time Warping
  • Feature Level Fusion
  • Hand-Gesture Based Signature

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