Hand-Geometry Based Recognition System
Hand-geometry biometric recognition is normally based on the detection of five points that correspond to the fingertips and four points between them (valley points). Specific methods often have to be implemented during the acquisition stage to make the detection of those points easier. This study presents techniques that have been developed to overcome the difficulties and limitations of the current systems. Moreover, a hand-geometry based recognition system that has no constraints during image acquisition is presented.
A methodology was developed based on the hand skeleton for the points on the fingertips and for the valley points it was based on the curvature of the hand contour. The principal difficulties were found during the segmentation step, which often fails if the fingers are not spread out. Once the points have been located, the necessary features for authentication were extracted. Classification algorithms were implemented at this stage. Those showing the best results presented a Genuine Acceptance Rate (GAR) of 76% and 8% for the False Acceptance Rate (FAR).
KeywordsBiometric recognition Hand geometry Hand database Characteristic points detection
Unable to display preview. Download preview PDF.
- 3.Ross, A., Pankanti, S., Jain, A.: A prototype hand geometry-based verification system. In: Proceedings of 2nd Conference on Audio and Video Based Biometric Person Authentication, pp. 166–171 (1999)Google Scholar
- 5.Magalhães, F., Oliveira, H. P., Matos, H., Campilho, A.: HGC 2011 - Hand Geometric Points Detection Competition Database, http://www.fe.up.pt/~hgc2011/
- 6.Oliveira, H.P., Magalhães, F.: Two Unconstrained Biometric Databases. In: Campilho, A., Kamel, M. (eds.) ICIAR 2012, Part II. LNCS, vol. 7325, pp. 11–19. Springer, Heidelberg (2012)Google Scholar
- 8.Pradhan, R., Kumar, S., Agarwal, R., Pradhan, M.P., Ghose, M.K.: Contour Line Tracing Algorithm for Digital Topographic Maps. International Journal of Image Processing 4, 156–163 (2010)Google Scholar
- 10.Ra, L.N.W., Shi, P.: Peg-free hand geometry recognition using hierarchical geometry and shape matching. In: IAPR Workshop on Machine Vision Applications, pp. 281–284 (2002)Google Scholar