Force ®eld Energy Functionals for Image Feature Extraction
نویسندگان
چکیده
The overall objective in de®ning feature space is to reduce the dimensionality of pattern space yet maintaining discriminatory power for classi®cation and invariant description. To meet this objective, in the context of ear biometrics, a novel force ®eld transformation has been developed in which the image is treated as an array of Gaussian attractors that act as the source of a force ®eld. The directional properties of the force ®eld are exploited to automatically locate the extrema of a small number of potential energy wells and associated potential channels. These form the basis of the ear description. This has been applied to a small database of ears and initial results show that the new approach has suitable performance attributes and shows promising results in automatic ear recognition. q 2002 Published by Elsevier Science B.V.
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Force Field Energy Functionals for Image Feature Extraction
Ears are an emergent biometric accruing application advantages including no requirement for subject contact and acquisition without demand. To recognize a subject's ear, we aim to extract a characteristic vector from a human ear image that may subsequently be used to identify or confirm the identity of the owner. Towards this end, a novel force field transformation and potential well extraction...
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