A novel hand reconstruction approach and its application to vulnerability assessment

作者：Gomez Barrero Marta^*; Galbally Javier; Morales Aythami; Ferrer Miguel A; Fierrez Julian; Ortega Garcia Javier

来源：Information Sciences, 2014, 268: 103-121.

DOI：10.1016/j.ins.2013.06.015

• Biometric system
• Hand recognition
• Hand reconstruction
• Security
• Vulnerability

The present work proposes a novel probabilistic method to reconstruct a hand shape image from its template. We analyse the degree of similarity between the reconstructed images and the original samples in order to determine whether the synthetic hands are able to deceive hand recognition systems. This analysis is made through the estimation of the success chances of an attack carried out with the synthetic samples against an independent system. The experimental results show that there is a high chance of breaking a hand recognition system using this approach. Furthermore, since it is a probabilistic method, several synthetic images can be generated from each original sample, which increases the success chances of the attack.

• 出版日期2014-6-1