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Proceedings Paper

Invariant approach to the character classification
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Paper Abstract

Image moments analysis is a very useful tool which allows image description invariant to translation and rotation, scale change and some types of image distortions. The aim of this work was development of simple method for fast and reliable classification of characters by using Hu's and affine moment invariants. Measure of Eucleidean distance was used as a discrimination feature with statistical parameters estimated. The method was tested in classification of Times New Roman font letters as well as sets of the handwritten characters. It is shown that using all Hu's and three affine invariants as discrimination set improves recognition rate by 30%.

Paper Details

Date Published: 25 April 2008
PDF: 7 pages
Proc. SPIE 7000, Optical and Digital Image Processing, 70001J (25 April 2008); doi: 10.1117/12.781261
Show Author Affiliations
Kristina Šariri, Institute of Physics (Croatia)
Nazif Demoli, Institute of Physics (Croatia)

Published in SPIE Proceedings Vol. 7000:
Optical and Digital Image Processing
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet, Editor(s)

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