Unconstrained and Contactless Hand Geometry Biometrics
AbstractThis paper presents a hand biometric system for contact-less, platform-free scenarios, proposing innovative methods in feature extraction, template creation and template matching. The evaluation of the proposed method considers both the use of three contact-less publicly available hand databases, and the comparison of the performance to two competitive pattern recognition techniques existing in literature: namely Support Vector Machines (SVM) and k-Nearest Neighbour (k-NN). Results highlight the fact that the proposed method outcomes existing approaches in literature in terms of computational cost, accuracy in human identification, number of extracted features and number of samples for template creation. The proposed method is a suitable solution for human identification in contact-less scenarios based on hand biometrics, providing a feasible solution to devices with limited hardware requirements like mobile devices.
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de-Santos-Sierra, A.; Sánchez-Ávila, C.; del Pozo, G.B.; Guerra-Casanova, J. Unconstrained and Contactless Hand Geometry Biometrics. Sensors 2011, 11, 10143-10164.
de-Santos-Sierra A, Sánchez-Ávila C, del Pozo GB, Guerra-Casanova J. Unconstrained and Contactless Hand Geometry Biometrics. Sensors. 2011; 11(11):10143-10164.Chicago/Turabian Style
de-Santos-Sierra, Alberto; Sánchez-Ávila, Carmen; del Pozo, Gonzalo Bailador; Guerra-Casanova, Javier. 2011. "Unconstrained and Contactless Hand Geometry Biometrics." Sensors 11, no. 11: 10143-10164.