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Proceedings Paper

Feature detection using 2D Wiener spike filters
Author(s): Eric C. Rosen
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Paper Abstract

The authors presents an algorithm for computing two-dimensional convolution filters that can detect characters and other image features by generalizing the previously derived one- dimensional Wiener Spike Filter. The author motivates the technique of Wiener Spike Filter design, provides a formal derivation for the two-dimensional generalization, gives a sample example, and describes the results of applying the technique to the task of detecting and recognizing specific English characters. The procedure can be easily adapted to recognize any specific feature that can be expressed as an image.

Paper Details

Date Published: 20 October 1993
PDF: 11 pages
Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); doi: 10.1117/12.158636
Show Author Affiliations
Eric C. Rosen, Univ. of California/Santa Cruz (United States)


Published in SPIE Proceedings Vol. 2028:
Applications of Digital Image Processing XVI
Andrew G. Tescher, Editor(s)

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