Citation

Khoh, Wee How and Pang, Ying Han and Ooi, Shih Yin and Yap, Hui Yen (2021) Spatiotemporal spectral histogramming analysis in hand gesture signature recognition. Journal of Intelligent & Fuzzy Systems, 40 (3). pp. 4275-4286. ISSN 1064-1246

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Abstract

Dynamic signature recognition emerges to perfectly solve the hygiene concern due to its no-contact characteristic. Nevertheless, the recognition of dynamic texture is challenging compared with the static signature image due to their unknown spatial and temporal nature. In this work, we present a multi-view spatiotemporal approach based on spectral histogramming for hand gesture signature recognition. A Microsoft Kinect sensor is adopted to capture the motion of signing in a sequence of depth frames. The depth frame sequence is viewed from three directional sights to retrieve rich information, such as temporal changes at each spatial location, the signing motion flow of each vertical and horizontal spatial space in a temporal manner. Furthermore, the proposed approach performs feature description on different levels of locality. This function enables a multi-resolution analysis on this dynamic signature. The robustness of the proposed approach is reflected with the promising result by striking the state-of-the-art performance, as substantiated in the empirical results.

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 Nurul Iqtiani Ahmad
Date Deposited:	05 May 2021 14:18
Last Modified:	05 May 2021 14:18
URII:	http://shdl.mmu.edu.my/id/eprint/8621

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