Video-based signature verification and pen-grasping posture analysis for user-dependent identification authentication

H. Y. Cheng, C. L. Lin, C. C. Yu, V. Gau

研究成果: 雜誌貢獻期刊論文同行評審

8 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
頁(從 - 到)388-396
頁數9
期刊IET Computer Vision
6
發行號5
DOIs
出版狀態已出版 - 9月 2012

指紋

深入研究「Video-based signature verification and pen-grasping posture analysis for user-dependent identification authentication」主題。共同形成了獨特的指紋。

引用此