Title :
Can fractal dimension be used in font classification
Author :
Moussa, S.B. ; Zahour, A. ; Alimi, M.A. ; Benabdelhafid, A.
Author_Institution :
Univ. of Sfax, Tunisia
fDate :
29 Aug.-1 Sept. 2005
Abstract :
In this work, we present a new tool for the font optical recognition. This tool is based on the use of the fractal geometry. We used two techniques for obtaining two parameters, they allowed the extraction of the global textures characteristics. These characteristics are expressed in a parametric form. The vision aspect is held in consideration, since it makes it possible to differentiate one font of another. Experiments show the importance of the proposed approach.
Keywords :
character sets; feature extraction; fractals; geometry; image texture; optical character recognition; pattern classification; font classification; font optical recognition; fractal geometry; global textures characteristics; Character recognition; Fractals; Geometrical optics; Hidden Markov models; MONOS devices; Neurons; Nonlinear optics; Optical character recognition software; Text recognition; Viterbi algorithm;
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2420-6
DOI :
10.1109/ICDAR.2005.66