DocumentCode
3019622
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
fYear
2005
fDate
29 Aug.-1 Sept. 2005
Firstpage
146
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN
1520-5263
Print_ISBN
0-7695-2420-6
Type
conf
DOI
10.1109/ICDAR.2005.66
Filename
1575527
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