Title :
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
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;
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on
Conference_Location :
Bari
Print_ISBN :
978-1-4673-2262-1
DOI :
10.1109/ICFHR.2012.155
