Abstract. This paper demonstrates the feasibility of a new method of hand-
geometry recognition based on parameters derived from the contour of the hand1.
The contour can be modelled by parameters, or features, that can capture more
details of the shape of the hand than what is possible with the standard geometrical
features used in hand-geometry recognition. The set of features considered in this
paper consists of the spatial coordinates of certain landmarks on the contour. The
veri¯cation performance obtained with contour-based features is compared with the
veri¯cation performance of other methods described in the literature.
|Title of host publication||Proceedings of the 29th Annual Conference of the Gesellschaft fur Klassifikation e.V.|
|Editors||M Spiliopoulou, R. Kruse, C. Borgelt, A. Nurnberger, W. Gaul|
|Place of Publication||Berlin Heidelberg, Germany|
|Number of pages||8|
|Publication status||Published - 9 Mar 2006|
|Name||Studies in classification, data analysis, and knowledge organisation|