TY - GEN
T1 - KHATT
T2 - Arabic offline Handwritten Text Database
AU - Mahmoud, Sabri A.
AU - Ahmad, Irfan
AU - Alshayeb, Mohammad
AU - Al-Khatib, Wasfi G.
AU - Parvez, Mohammad Tanvir
AU - Fink, Gernot A.
AU - Märgner, Volker
AU - El Abed, Haikal
PY - 2012
Y1 - 2012
N2 - In this paper, we report our comprehensive Arabic offline Handwritten Text database (KHATT) after completion of the collection of 1000 handwritten forms written by 1000 writers from different countries. It is composed of an image database containing images of the written text at 200, 300, and 600 dpi resolutions, a manually verified ground truth database that contains meta-data describing the written text at the page, paragraph, and line levels. A formal verification procedure is implemented to align the handwritten text with its ground truth at the form, paragraph and line levels. Tools to extract paragraphs from pages and segment paragraphs into lines are developed. Preliminary experiments on Arabic handwritten text recognition are conducted using sample data from the database and the results are reported. The database will be made freely available to researchers world-wide for research in various handwritten-related problems such as text recognition, writer identification and verification, etc.
AB - In this paper, we report our comprehensive Arabic offline Handwritten Text database (KHATT) after completion of the collection of 1000 handwritten forms written by 1000 writers from different countries. It is composed of an image database containing images of the written text at 200, 300, and 600 dpi resolutions, a manually verified ground truth database that contains meta-data describing the written text at the page, paragraph, and line levels. A formal verification procedure is implemented to align the handwritten text with its ground truth at the form, paragraph and line levels. Tools to extract paragraphs from pages and segment paragraphs into lines are developed. Preliminary experiments on Arabic handwritten text recognition are conducted using sample data from the database and the results are reported. The database will be made freely available to researchers world-wide for research in various handwritten-related problems such as text recognition, writer identification and verification, etc.
UR - http://www.scopus.com/inward/record.url?scp=84874271064&partnerID=8YFLogxK
U2 - 10.1109/ICFHR.2012.224
DO - 10.1109/ICFHR.2012.224
M3 - Conference contribution
AN - SCOPUS:84874271064
SN - 9780769547749
T3 - Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR
SP - 449
EP - 454
BT - Proceedings - 13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012
ER -