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

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

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© The Institution of Engineering and Technology
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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.

Inspec keywords: handwriting recognition; image motion analysis; curvelet transforms; cameras; video signal processing

Other keywords: video-based handwritten signature verification; video-based identification authentication framework; user-dependent identification authentication; curvelets; writing process; motion energy image; unskilled imitation signature; camera; skilled imitation signature; pen-grasping posture analysis

Subjects: Computer vision and image processing techniques; Integral transforms; Image recognition; Video signal processing; Integral transforms

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cvi.2010.0136
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