NDLI: IESK-ArDB: a database for handwritten Arabic and an optimized topological segmentation approach

Content Provider	Springer Nature Link
Author	Elzobi, Moftah Al Hamadi, Ayoub Al Aghbari, Zaher Dings, Laslo
Copyright Year	2012
Abstract	Even though a lot of researches have been conducted in order to solve the problem of unconstrained handwriting recognition, an effective solution is still a serious challenge. In this article, we address two Arabic handwriting recognition-related issues. Firstly, we present IESK-arDB, a new multi-propose off-line Arabic handwritten database. It is publicly available and contains more than 4,000 word images, each equipped with binary version, thinned version as well as a ground truth information stored in separate XML file. Additionally, it contains around 6,000 character images segmented from the database. A letter frequency analysis showed that the database exhibits letter frequencies similar to that of large corpora of digital text, which proof the database usefulness. Secondly, we proposed a multi-phase segmentation approach that starts by detecting and resolving sub-word overlaps, then hypothesizing a large number of segmentation points that are later reduced by a set of heuristic rules. The proposed approach has been successfully tested on IESK-arDB. The results were very promising, indicating the efficiency of the suggested approach.
Starting Page	295
Ending Page	308
Page Count	14
File Format	PDF
ISSN	14332833
Journal	International Journal of Document Analysis and Recognition (IJDAR)
Volume Number	16
Issue Number	3
e-ISSN	14332825
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2012-10-21
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Arabic OCR Off-line handwriting recognition Handwritten Arabic database Handwriting segmentation Baseline estimation Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A structural features based segmentation for off-line handwritten Arabic text

A survey on Arabic character segmentation

ICDAR2009 handwriting segmentation contest

An old greek handwritten OCR system based on an efficient segmentation-free approach

On-line Arabic handwriting recognition competition : ADAB database and participating systems

ICDAR 2009-Arabic handwriting recognition competition

Off-line handwritten Arabic character segmentation algorithm: ACSA

Comprehensive synthetic Arabic database for on/off-line script recognition research

A benchmark image database of isolated Bangla handwritten compound characters

IESK-ArDB: a database for handwritten Arabic and an optimized topological segmentation approach

Similar Documents

A structural features based segmentation for off-line handwritten Arabic text

A survey on Arabic character segmentation

ICDAR2009 handwriting segmentation contest

An old greek handwritten OCR system based on an efficient segmentation-free approach

On-line Arabic handwriting recognition competition : ADAB database and participating systems

ICDAR 2009-Arabic handwriting recognition competition

Off-line handwritten Arabic character segmentation algorithm: ACSA

Comprehensive synthetic Arabic database for on/off-line script recognition research

A benchmark image database of isolated Bangla handwritten compound characters

IESK-ArDB: a database for handwritten Arabic and an optimized topological segmentation approach