A Database for Arabic Handwritten Text Image Recognition and Writer Identification

Author

Mezghani, Amine ; Kanoun, Slim ; Khemakhem, Mahdi ; Abed, H.E.

Author_Institution

MIRACL Lab., Univ. of Sfax, Sfax, Tunisia

fYear

2012

fDate

18-20 Sept. 2012

Firstpage

399

Lastpage

402

Abstract

Standard databases play essential roles for evaluating and comparing results obtained by different groups of researchers. In this paper, an Arabic Handwritten Text Images Database written by Multiple Writers (AHTID/MW) is introduced. This database can be used for research in the recognition of Arabic handwritten text with open vocabulary, word segmentation and writer identification. The AHTID/MW contains 3710 text lines and 22896 words written by 53 native writers of Arabic. In addition, ground truth annotation is provided for each text image. The database is freely available for worldwide researchers.

Keywords

document image processing; handwritten character recognition; natural language processing; text analysis; visual databases; vocabulary; AHTID/MW; Arabic handwritten text image database; Arabic handwritten text image recognition; ground truth annotation; multiple writers; open vocabulary; text line; word segmentation; writer identification; Educational institutions; Handwriting recognition; Image databases; Shape; Text recognition; Vocabulary; AHTID/MW Database; Arabic Handwritten text image; Ground truth; open vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on

Conference_Location

Bari

Print_ISBN

978-1-4673-2262-1

Type

conf

DOI

10.1109/ICFHR.2012.155

Filename

6424426