A methodology to spot words in historical Arabic documents

Author

Zirari, F. ; Ennaji, Abdellatif ; Nicolas, S. ; Mammass, D.

Author_Institution

LITIS Lab., Univ. of Rouen, Rouen, France

fYear

2013

fDate

27-30 May 2013

Firstpage

1

Lastpage

4

Abstract

Libraries contain huge amounts of Arabic printed historical documents which cannot be available on-line because they do not have a searchable index. The word spotting idea has previously been suggested as a solution to create indexes for such a collection of documents by matching word images. In this paper we present a word spotting method for Arabic printed historical document. We start with word segmentation using run length smoothing algorithm. The description of the features selected to represent the words images is given afterwards. Elastic Dynamic Time Warping is used for matching the features of the two words. This method was tested on the Arabic historical printed document database of Moroccan National Library (MNL).

Keywords

digital libraries; document image processing; feature extraction; history; image matching; image representation; image segmentation; indexing; optical character recognition; smoothing methods; word processing; Arabic printed historical document; MNL; Moroccan National Library; document collection; elastic dynamic time warping; feature selection; historical library collection; indexing; run length smoothing algorithm; word feature matching; word image matching; word image representation; word segmentation; word spotting method; Feature extraction; Image segmentation; Indexing; Libraries; Smoothing methods; Vectors; Arabic historical printed document; DTW; feature extraction; word segmentation; word spotting;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Systems and Applications (AICCSA), 2013 ACS International Conference on

Conference_Location

Ifrane

ISSN

2161-5322

Type

conf

DOI

10.1109/AICCSA.2013.6616492

Filename

6616492