Person authentication based on hand shape
In Proceedings of 12th european signal processing conference (EUSIPCO)
Abstract
The problem of person identification based on their hand images has been addressed. The system is based on the images of the right hands of the subjects, captured by a flatbed scanner in an unconstrained pose. In a preprocessing stage of the algorithm, the silhouettes of hand images are registered to a fixed pose, which involves both rotation and translation of the hand and, separately, of the individual fingers. Independent component features of the hand silhouette images are used for recognition. The classification performance is found to be very satisfactory and it was shown that, at least for groups of one hundred subjects, hand-based recognition is a viable secure access control scheme.