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

Producción científica: Conference contribution › revisión exhaustiva

27 Citas (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings
ISBN (versión digital)	9781467368025
DOI	https://doi.org/10.1109/WIFS.2015.7368566
Estado	Published - dic 29 2015
Evento	IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Rome, Italy Duración: nov 16 2015 → nov 19 2015

Serie de la publicación

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

Conference

Conference	IEEE International Workshop on Information Forensics and Security, WIFS 2015
País/Territorio	Italy
Ciudad	Rome
Período	11/16/15 → 11/19/15

Nota bibliográfica

Publisher Copyright:
© 2015 IEEE.

Financiación

Part of this material is based upon work supported by the National Science Foundation under Grant No. 1237134.

Financiadores	Número del financiador
National Science Foundation (NSF)	1237134

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Computer Networks and Communications

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10.1109/WIFS.2015.7368566

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Sajid, H., & Cheung, S. C. S. (2015). VSig: Hand-gestured signature recognition and authentication with wearable camera. En 2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings Artículo 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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title = "VSig: Hand-gestured signature recognition and authentication with wearable camera",

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.",

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Sajid, H & Cheung, SCS 2015, VSig: Hand-gestured signature recognition and authentication with wearable camera. En 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).

Producción científica: Conference contribution › revisión exhaustiva

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

Resumen

Serie de la publicación

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Nota bibliográfica

Financiación

ASJC Scopus subject areas

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