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Measuring classification complexity of image databases: a novel approach

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2 Author(s)
Rahman, A.F.R. ; Electron. Eng. Labs., Kent Univ., Canterbury, UK ; Fairhurst, M.C.

A novel approach for estimating classification complexities of various image databases holding similar types of data is proposed. A new measure indicating the relative complexity of classification for an image database has been defined in terms of the statistical similarities existing between various samples belonging to various classes in the database. The proposed measure has been applied to five widely available databases containing samples of handwritten and machine printed characters and has been found to be very accurate in predicting the relative classification complexity of these databases. The proposed complexity measure is completely generalised and is applicable to the assessment of the relative classification complexity of any image database relative to any other databases containing similar types of images

Published in:
Image Analysis and Processing, 1999. Proceedings. International Conference on

Date of Conference: 1999

Page(s):
893 - 897
Meeting Date :
27 Sep 1999-29 Sep 1999
Print ISBN:
0-7695-0040-4
INSPEC Accession Number:
6489044
Conference Location :
Venice
Digital Object Identifier :
10.1109/ICIAP.1999.797708
Product Type:
Conference Publications

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