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

Hasan Sajid, Sen Ching S. Cheung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 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 languageEnglish
Title of host publication2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings
ISBN (Electronic)9781467368025
DOIs
StatePublished - Dec 29 2015
EventIEEE International Workshop on Information Forensics and Security, WIFS 2015 - Rome, Italy
Duration: Nov 16 2015Nov 19 2015

Publication series

Name2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings

Conference

ConferenceIEEE International Workshop on Information Forensics and Security, WIFS 2015
Country/TerritoryItaly
CityRome
Period11/16/1511/19/15

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

Fingerprint

Dive into the research topics of 'VSig: Hand-gestured signature recognition and authentication with wearable camera'. Together they form a unique fingerprint.

Cite this