Invariant approach to the character classification (CROSBI ID 547178)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šariri, Kristina ; Demoli, Nazif
engleski
Invariant approach to the character classification
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%.
pattern recognition; image moments
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Podaci o prilogu
70001J-1-70001J-7.
2008.
objavljeno
Podaci o matičnoj publikaciji
Schelkens, Peter ; Ebrahimi, Touradj ; Gabriel Cristóbal ; Truchetet, Frédéric
Washington (MD): SPIE
9780819471987
0277-786X
Podaci o skupu
Optical and Digital Image Processing
poster
07.04.2008-09.04.2008
Strasbourg, Francuska