Invariant approach to the character classification

Kristina Šariri; Nazif Demoli

doi:10.1117/12.781261

25 April 2008 Invariant approach to the character classification

Kristina Šariri, Nazif Demoli

Proceedings Volume 7000, Optical and Digital Image Processing; 70001J (2008) https://doi.org/10.1117/12.781261
Event: SPIE Photonics Europe, 2008, Strasbourg, France

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%.

Citation Download Citation

Kristina Šariri and Nazif Demoli "Invariant approach to the character classification", Proc. SPIE 7000, Optical and Digital Image Processing, 70001J (25 April 2008); https://doi.org/10.1117/12.781261

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