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Veldhuis, R.N.J. and Bazen, A.M. and Booij, W.D.T. and Hendrikse, A.J.
(2004)
A Comparison of Hand-Geometry Recognition Methods Based on Low- and High-Level Features.
In: 15th Annual Workshop on Circuits Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands.
pp. 326-330.
Technology Foundation STW.
ISBN 90-73461-43-X
Full text available as:
AbstractThis paper compares the performance of hand-geometry recognition based on high-level features and on low-level features. The difference between high- and low-level features is that the former are based on interpreting the biometric data, e.g. by locating a finger and measuring its dimensions, whereas the latter are not. The low-level features used here are landmarks on the contour of the hand. The high-level features are a standard set of geometrical features such as widths and lengths of fingers and angles, measured at preselected locations.
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