A biometric authentication model using hand gesture images

BioMedical Engineering OnLine

Simon Fong¹  Yan Zhuang¹  Iztok Fister²  Iztok Fister² 

[1] 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

关键词: Machine learning;    Hand sign recognition;    Hand gesture;    Biometric authentication;   

Others  :  797292
DOI  :  10.1186/1475-925X-12-111

 received in 2013-07-31, accepted in 2013-10-11,  发布年份 2013

【 摘 要 】

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.

【 授权许可】

   
2013 Fong et al.; licensee BioMed Central Ltd.

【 图 表 】

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