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 :
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