Weighted least squares method for the approximation of directional derivatives

Authors:
M. Tico;P. Kuosmanen
Affiliations:
Digital Media Inst., Tampere Univ. of Technol., Finland;-
Venue:
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Year:
2001

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Fingerprint image enhancement based on second directional derivative of the digital image

EURASIP Journal on Applied Signal Processing

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Abstract

Using the facet model we design a family of filters for the approximation of partial derivatives of the digital image surface. Prior information (e.g., local dominant orientation) is incorporated in a two-dimensional weight function. A weighted least squares estimation of the facet parameters is applied in order to design the proposed filters. Exemplary application of the proposed filters to fingerprint image segmentation is also presented.