DocumentCode :
1323993
Title :
Video-based signature verification and pen-grasping posture analysis for user-dependent identification authentication
Author :
Cheng, Hsu-Yung ; Lin, Chih-Lung ; Yu, Chih-Chang ; Gau, Vincent
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chungli, Taiwan
Volume :
6
Issue :
5
fYear :
2012
Firstpage :
388
Lastpage :
396
Abstract :
This article proposes a video-based identification authentication framework via signature verification and pen-grasping posture analysis. The authors consider the case of using a camera instead of a pressure-sensitive tablet to acquire signatures. The proposed reliable verification method is useful when pressure-sensitive digitising tablets are not available. In addition, the authors can acquire more information in addition to the trajectories of the signature in video-based handwritten signature verification. The entire writing process and the pen-grasping posture are personalised features that cannot be easily imitated and forged. The authors analyse the signature trajectories using curvelets and the pen-grasping posture using modified motion energy images to perform user-dependent identification authentication. The proposed system is able to achieve both low false-rejection rates and low false-acceptance rates for database containing both unskilled and skilled imitation signatures.
Keywords :
cameras; curvelet transforms; handwriting recognition; image motion analysis; video signal processing; camera; curvelets; motion energy image; pen-grasping posture analysis; skilled imitation signature; unskilled imitation signature; user-dependent identification authentication; video-based handwritten signature verification; video-based identification authentication framework; writing process;
fLanguage :
English
Journal_Title :
Computer Vision, IET
Publisher :
iet
ISSN :
1751-9632
Type :
jour
DOI :
10.1049/iet-cvi.2010.0136
Filename :
6334791
Link To Document :
بازگشت