Hand based biometry

Erdem Yoruk; Helin Dutagaci; Bulent Sankur

doi:10.1117/12.587815

14 March 2005 Hand based biometry

Erdem Yoruk, Helin Dutagaci, Bulent Sankur

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.587815
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

A biometric scheme based on the silhouettes and/or textures of the hands is developed. The crucial part of the algorithm is the accurate registration of the deformable shape of the hands since subjects are not constrained in pose or posture during acquisition. A host of shape and texture features are comparatively evaluated, such as Independent component features (ICA features), Principal Component Analysis (PCA features), Angular Radial Transform (ART features) and the distance transform (DT) based features. Even with a limited number of training data it is shown that this biometric scheme can perform reliably for populations up to several hundreds.

Citation Download Citation

Erdem Yoruk, Helin Dutagaci, and Bulent Sankur "Hand based biometry", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.587815

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