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 contribution

10 Citations (Scopus)

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
Publication statusPublished - 2012 Dec 1
Event2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 - Guangzhou, China
Duration: 2012 Dec 52012 Dec 7

Publication series

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

Other

Other2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
CountryChina
CityGuangzhou
Period12/12/512/12/7

Fingerprint

Trajectories
Image sensors
Authentication
Fusion reactions
Processing
Air

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering

Cite this

Jeon, J. H., Oh, B. S., & Toh, K. A. (2012). A system for hand gesture based signature recognition. In 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 (pp. 171-175). [6485153] (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012). https://doi.org/10.1109/ICARCV.2012.6485153
Jeon, Je Hyoung ; Oh, Beom Seok ; Toh, Kar Ann. / A system for hand gesture based signature recognition. 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012. 2012. pp. 171-175 (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012).
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title = "A system for hand gesture based signature recognition",
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.",
author = "Jeon, {Je Hyoung} and Oh, {Beom Seok} and Toh, {Kar Ann}",
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Jeon, JH, Oh, BS & Toh, KA 2012, A system for hand gesture based signature recognition. in 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012., 6485153, 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012, pp. 171-175, 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012, Guangzhou, China, 12/12/5. https://doi.org/10.1109/ICARCV.2012.6485153

A system for hand gesture based signature recognition. / Jeon, Je Hyoung; Oh, Beom Seok; Toh, Kar Ann.

2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012. 2012. p. 171-175 6485153 (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012).

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

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AB - 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.

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Jeon JH, Oh BS, Toh KA. A system for hand gesture based signature recognition. In 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012. 2012. p. 171-175. 6485153. (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012). https://doi.org/10.1109/ICARCV.2012.6485153