Title

A multicriteria multitransform neural network classifier

Authors

Authors

W. B. Mikhael;M. M. Abdelwahab

Comments

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Abbreviated Journal Title

Circuits Syst. Signal Process.

Keywords

neural network; classification; transforms; multicriteria; IMAGE CLASSIFICATION; Engineering, Electrical & Electronic

Abstract

In this paper, we propose a novel one- and multi-dimensional signal classification neural network system that employs a set of criteria extracted from the signal representation in different transform domains, denoted the multicriteria multitransform neural network classifier. The signal projection, in each appropriately selected transform domain, reveals unique signal characteristics. The criteria in the different domains are properly formulated and their parameters adapted to obtain classification with desirable implementation properties such as speed and accuracy. Results for image classification confirm the improved classification performance relative to existing techniques. In addition to the improved computational efficiency and accuracy, preliminary results indicate that the proposed technique lends itself to higher classification accuracy in the presence of additive noise.

Journal Title

Circuits Systems and Signal Processing

Volume

21

Issue/Number

5

Publication Date

1-1-2002

Document Type

Article

Language

English

First Page

451

Last Page

460

WOS Identifier

WOS:000178889400001

ISSN

0278-081X

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