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A biometric authentication model using hand gesture images
Simon Fong1; Yan Zhuang1; Iztok Fister2; Iztok Fister Jr2
2013-10-30
Source PublicationBioMedical Engineering Online
ISSN1475-925X
Volume12Issue:1
Abstract

A novel hand biometric authentication method based on measurements of the user's stationary hand gesture of hand sign language is proposed. The measurement of hand gestures could be sequentially acquired by a low-cost video camera. There could possibly be another level of contextual information, associated with these hand signs to be used in biometric authentication. As an analogue, instead of typing a password 'iloveu' in text which is relatively vulnerable over a communication network, a signer can encode a biometric password using a sequence of hand signs, 'i', 'l', 'o', 'v', 'e', and 'u'. Subsequently the features from the hand gesture images are extracted which are integrally fuzzy in nature, to be recognized by a classification model for telling if this signer is who he claimed himself to be, by examining over his hand shape and the postures in doing those signs. It is believed that everybody has certain slight but unique behavioral characteristics in sign language, so are the different hand shape compositions. Simple and efficient image processing algorithms are used in hand sign recognition, including intensity profiling, color histogram and dimensionality analysis, coupled with several popular machine learning algorithms. Computer simulation is conducted for investigating the efficacy of this novel biometric authentication model which shows up to 93.75% recognition accuracy. 

KeywordBiometric Authentication Hand Gesture Hand Sign Recognition Machine Learning
DOIhttps://doi.org/10.1186/1475-925X-12-111
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical
WOS IDWOS:000328351400001
PublisherBMC, CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
Fulltext Access
Citation statistics
Cited Times [WOS]:15   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon Fong
Affiliation1.Department of Computer and Information Science, University of Macau, Macau, SAR, China
2.Faculty of electrical engineering and computer science, University of Maribor, Smetanova 17, 2000 Maribor, Slovenia
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Simon Fong,Yan Zhuang,Iztok Fister,et al. A biometric authentication model using hand gesture images[J]. BioMedical Engineering Online,2013,12(1).
APA Simon Fong,Yan Zhuang,Iztok Fister,&Iztok Fister Jr.(2013).A biometric authentication model using hand gesture images.BioMedical Engineering Online,12(1).
MLA Simon Fong,et al."A biometric authentication model using hand gesture images".BioMedical Engineering Online 12.1(2013).
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