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The Use of Steerable Filters for Feature Extraction

Emir TUFAN AKMAN

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Summary :

This letter proposes a new approach for feature extraction using steerable filters. This approach is based on the concept of orientation-energy histogram which yields the local direction of dominant orientation. The testing is carried out using a training set of 1000 and a set of 300 unknown 40 40 hand-written digits. As a result of the simulations, 92% correct recognition is provided.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.1 pp.262-264
Publication Date
2002/01/01
Publicized
Online ISSN
DOI
Type of Manuscript
LETTER
Category
Systems and Control

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