VSig: Hand-gestured signature recognition and authentication with wearable camera

Hasan Sajid; Sen Ching S. Cheung

doi:10.1109/WIFS.2015.7368566

VSig: Hand-gestured signature recognition and authentication with wearable camera

Hasan Sajid, Sen Ching S. Cheung

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

26 Scopus citations

Abstract

Wearable camera is gaining popularity not only as a recording device for law enforcement and hobbyists, but also as a human-computer interface for the next generation wearable technology. It provides a more convenient and portable platform for gesture input than stationary camera, but poses unique challenges due to user movement and scene variation. In this paper, we describe a robust wearable camera based system called VSig for hand-gestured signature recognition and authentication. The proposed method asks the user to virtually sign within the field of the view of the wearable camera. Fingertip is segmented out and tracked to reconstruct the signature. This is followed by signature matching for authentication with the pre-stored signatures of the individual. A dataset named SIGAIR comprising of hand-gestured signatures from 10 individuals has been created and used for testing. An average accuracy of 97.5% is achieved by the proposed method.

Original language	English
Title of host publication	2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings
ISBN (Electronic)	9781467368025
DOIs	https://doi.org/10.1109/WIFS.2015.7368566
State	Published - Dec 29 2015
Event	IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Rome, Italy Duration: Nov 16 2015 → Nov 19 2015

Publication series

Name	2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings

Conference

Conference	IEEE International Workshop on Information Forensics and Security, WIFS 2015
Country/Territory	Italy
City	Rome
Period	11/16/15 → 11/19/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

hand gesture recognition
signature authentication
visual segmentation and tracking
wearable cameras

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Computer Networks and Communications

Access to Document

10.1109/WIFS.2015.7368566

Cite this

Sajid, H., & Cheung, S. C. S. (2015). VSig: Hand-gestured signature recognition and authentication with wearable camera. In 2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings Article 7368566 (2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings). https://doi.org/10.1109/WIFS.2015.7368566

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Sajid, H & Cheung, SCS 2015, VSig: Hand-gestured signature recognition and authentication with wearable camera. in 2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings., 7368566, 2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings, IEEE International Workshop on Information Forensics and Security, WIFS 2015, Rome, Italy, 11/16/15. https://doi.org/10.1109/WIFS.2015.7368566

VSig: Hand-gestured signature recognition and authentication with wearable camera. / Sajid, Hasan; Cheung, Sen Ching S.
2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings. 2015. 7368566 (2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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VSig: Hand-gestured signature recognition and authentication with wearable camera

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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