A system for hand gesture based signature recognition

Je Hyoung Jeon; Beom Seok Oh; Kar Ann Toh

doi:10.1109/ICARCV.2012.6485153

A system for hand gesture based signature recognition

Je Hyoung Jeon, Beom Seok Oh, Kar Ann Toh

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 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 language	English
Title of host publication	2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
Pages	171-175
Number of pages	5
DOIs	https://doi.org/10.1109/ICARCV.2012.6485153
Publication status	Published - 2012 Dec 1
Event	2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 - Guangzhou, China Duration: 2012 Dec 5 → 2012 Dec 7

Publication series

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

Other

Other	2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
Country	China
City	Guangzhou
Period	12/12/5 → 12/12/7

Fingerprint

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

@inproceedings{5d9d2bd66d1d49e1a845c5d23f0d5fc7,

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}",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/ICARCV.2012.6485153",

language = "English",

isbn = "9781467318716",

series = "2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012",

pages = "171--175",

booktitle = "2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012",

note = "2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 ; Conference date: 05-12-2012 Through 07-12-2012",

}

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 proceeding › Conference contribution

TY - GEN

T1 - A system for hand gesture based signature recognition

AU - Jeon, Je Hyoung

AU - Oh, Beom Seok

AU - Toh, Kar Ann

PY - 2012/12/1

Y1 - 2012/12/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=84876035719&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84876035719&partnerID=8YFLogxK

U2 - 10.1109/ICARCV.2012.6485153

DO - 10.1109/ICARCV.2012.6485153

M3 - Conference contribution

AN - SCOPUS:84876035719

SN - 9781467318716

T3 - 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

SP - 171

EP - 175

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

T2 - 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

Y2 - 5 December 2012 through 7 December 2012

ER -

Access to Document

10.1109/ICARCV.2012.6485153