DocumentCode
1659904
Title
A system for hand gesture based signature recognition
Author
Je-Hyoung Jeon ; Beom-Seok Oh ; Kar-Ann Toh
Author_Institution
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear
2012
Firstpage
171
Lastpage
175
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.
Keywords
acceleration; error statistics; feature extraction; gesture recognition; handwriting recognition; image fusion; image matching; image sensors; object detection; palmprint recognition; velocity; acceleration information; bare-hand in-air signature system; depth image sensor; equal error rate; feature level fusion; fingertip location; hand gesture based signature recognition; hand region detection; input feature; palm mass-center location; positional information; system verification performance; trajectory matching; trajectory processing; user authentication system; velocity information; Acceleration; Accuracy; Authentication; Biometrics (access control); Databases; Feature extraction; Trajectory; Dynamic Time Warping; Feature Level Fusion; Hand-Gesture Based Signature;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-1871-6
Electronic_ISBN
978-1-4673-1870-9
Type
conf
DOI
10.1109/ICARCV.2012.6485153
Filename
6485153
Link To Document