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 verification performance obtained with contour-based features is compared with the verification performance of other methods described in the literature.
This paper is a short version of Veldhuis et al (2005)
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© 2006 Springer Berlin · Heidelberg
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Veldhuis, R., Bazen, A., Booij, W., Hendrikse, A. (2006). Hand-geometry Recognition Based on Contour Landmarks. In: Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A., Gaul, W. (eds) From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31314-1_79
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DOI: https://doi.org/10.1007/3-540-31314-1_79
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