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 | |
| 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
}
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
ER -