An efficient preprocessing block for the middle-age Persian manuscripts

Author

Alirezaee, Shahpour ; Aghaeinia, Hassan ; Faez, Karim ; Rashidzadeh, Rashid

Author_Institution

Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran

fYear

2005

fDate

1-4 May 2005

Firstpage

2170

Lastpage

2173

Abstract

In this paper, a preprocessing block for the middle-age Persian documents is proposed. The main idea is based on the mathematical morphology, connected components and clustering. The proposed algorithm is capable to simultaneously remove the noise and segment the manuscript to its basic components i.e. lines, words and characters. The proposed strategy has been tested on 200 page of the middle-age Persian. We have also used the success of the k-means algorithm on page to line segmentation as a criterion for the performance evaluation on the test data. The results show the proposed algorithm has 98.12% accuracy on page to line segmentation

Keywords

document image processing; handwritten character recognition; mathematical morphology; mathematical morphology; middle-age Persian manuscripts; page to line segmentation; performance evaluation; preprocessing block; Character recognition; Chromium; Clustering algorithms; Gray-scale; Handwriting recognition; Histograms; Image segmentation; Morphology; Smoothing methods; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2005. Canadian Conference on

Conference_Location

Saskatoon, Sask.

ISSN

0840-7789

Print_ISBN

0-7803-8885-2

Type

conf

DOI

10.1109/CCECE.2005.1557418

Filename

1557418