Fractal-based system for Arabic/Latin, printed/handwritten script identification

Author

Ben Moussa, S. ; Zahour, A. ; Benabdelhafid, A. ; Alimi, A.M.

Author_Institution

Univ. of SfaxSfax, Sfax

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

In this paper, we present multilingual automatic identification of Arabic and Latin in both handwritten and printed script. The proposed scheme is based, Firstly, on morphological transform of line text images, secondly on fractal analysis features of both (i): original texture of 2-D images, (ii): vertical and horizontal profile projection. We used two techniques to obtain only 12 features based on fractal multi-dimension. The proposed system has been tested for 1000 prototypes with various typefaces, scriptors styles and sizes. The accuracy discrimination rate is about of 96.64 % by using KNN, and 98.72 % by using RBF. Experimental results show the importance of the proposed approach.

Keywords

feature extraction; fractals; handwriting recognition; image texture; linguistics; natural languages; radial basis function networks; text analysis; transforms; Arabic; K-nearest neighbour; KNN; Latin; RBF; fractal-based system; handwritten script identification; image texture; line text image; morphological transform; multilingual automatic identification; printed script identification; radial basis function; Feature extraction; Fractals; Gabor filters; Image analysis; Image segmentation; Image texture analysis; Information retrieval; Optical character recognition software; Testing; Typesetting;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761838

Filename

4761838