Next Article in Journal
Correction: Ngo, T.D. LinkMind: Link Optimization in Swarming Mobile Sensor Networks. Sensors 2011, 11, 8180-8202
Next Article in Special Issue
Gaussian Multiscale Aggregation Applied to Segmentation in Hand Biometrics
Previous Article in Journal
Electrostatic Excitation for the Force Amplification of Microcantilever Sensors
Article

Unconstrained and Contactless Hand Geometry Biometrics

Group of Biometrics, Biosignals and Security, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, 28223 Pozuelo de Alarcón, Madrid, Spain
*
Author to whom correspondence should be addressed.
Sensors 2011, 11(11), 10143-10164; https://doi.org/10.3390/s111110143
Received: 6 September 2011 / Revised: 14 October 2011 / Accepted: 14 October 2011 / Published: 25 October 2011
(This article belongs to the Special Issue Hand-Based Biometrics Sensors and Systems)
This 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. View Full-Text
Keywords: contactless hand biometrics; invariant feature extraction; security; pattern recognition; image processing; hand geometry; unconstrained biometrics contactless hand biometrics; invariant feature extraction; security; pattern recognition; image processing; hand geometry; unconstrained biometrics
Show Figures

MDPI and ACS Style

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. https://doi.org/10.3390/s111110143

AMA Style

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. https://doi.org/10.3390/s111110143

Chicago/Turabian Style

De-Santos-Sierra, Alberto, Carmen Sánchez-Ávila, Gonzalo Bailador Del Pozo, and Javier Guerra-Casanova. 2011. "Unconstrained and Contactless Hand Geometry Biometrics" Sensors 11, no. 11: 10143-10164. https://doi.org/10.3390/s111110143

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop