Citation

Khoh, Wee How and Pang, Ying Han and Teoh, Andrew Beng Jin (2018) In-air hand gesture signature recognition system based on 3-dimensional imagery. Multimedia Tools and Applications, 78 (6). pp. 6913-6937. ISSN 1380-7501

Text Khoh2019_Article_In-airHandGestureSignatureReco.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

A traditional online handwritten signature recognition system requires direct contact to acquisition device and usually will leave a traceable print on the surface. This made a signature possible and vulnerable to certain attempts of tracking and imitated. Looking into this shortfall, this paper proposes a novel approach to recognise an individual based on his/ her in-air hand motion while signing his/her signature. In this study, a low-cost acquisition device – Microsoft Kinect sensor is adopted to capture an image sequence of hand gesture signature. Palm region is first located and segmented through a predictive palm segmentation algorithm, which are then combined to generate a volume data. The volume data is condensed and reduced into a motion representation image by means of Motion History Image (MHI), which produces rich motion and temporal information. Several features are extracted from the MHI for empirical evaluation. Two classical recognition modes – identification and verification, are testified with an in-house database (HGS database). The proposed system achieves 90.4% identification accuracy and 3.22% equal error rate in verification mode. The experimental results substantiated the potential of the proposed system.

Item Type:	Article
Uncontrolled Keywords:	Biometric identification
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	05 Nov 2020 19:04
Last Modified:	22 Apr 2021 16:58
URII:	http://shdl.mmu.edu.my/id/eprint/7240

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