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Assessment of geometric features for individual identification and verification in biometric hand systems

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Luque-Baena, Rafael M., Elizondo, David, López-Rubio, Ezequiel, Palomo, Esteban J. and Watson, Tim (2013) Assessment of geometric features for individual identification and verification in biometric hand systems. Expert Systems with Applications, 40 (9). pp. 3580-3594. doi:10.1016/j.eswa.2012.12.065

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Official URL: http://dx.doi.org/10.1016/j.eswa.2012.12.065

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Abstract

This paper studies the reliability of geometric features for the identification of users based on hand biometrics. Our methodology is based on genetic algorithms and mutual information. The aim is to provide a system for user identification rather than a classification. Additionally, a robust hand segmentation method to extract the hand silhouette and a set of geometric features in hard and complex environments is described. This paper focuses on studying how important and discriminating the hand geometric features are, and if they are suitable in developing a robust and reliable biometric identification. Several public databases have been used to test our method. As a result, the number of required features have been drastically reduced from datasets with more than 400 features. In fact, good classification rates with about 50 features on average are achieved, with a 100% accuracy using the GA–LDA strategy for the GPDS database and 97% for the CASIA and IITD databases, approximately. For these last contact-less databases, reasonable EER rates are also obtained.

Item Type: Journal Article
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Expert Systems with Applications
Publisher: Pergamon-Elsevier Science Ltd.
ISSN: 0957-4174
Official Date: 2013
Dates:
DateEvent
2013Published
Volume: 40
Number: 9
Page Range: pp. 3580-3594
DOI: 10.1016/j.eswa.2012.12.065
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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