Generic Automatic Recognition System for Handwritten Arabic Script Documents

Award Information
Agency:
Department of Defense
Branch:
Army
Amount:
$119,936.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-08-C-0027
Agency Tracking Number:
A072-057-2621
Solicitation Year:
2007
Solicitation Topic Code:
A07-057
Solicitation Number:
2007.2
Small Business Information
OPTIMAL SYNTHESIS, INC.
868 San Antonio Road, Palo Alto, CA, 94303
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
N
Duns:
829385509
Principal Investigator
 Hui-Ling Lu
 Principal Scientist
 (650) 213-8585
 vicky@optisyn.com
Business Contact
 P. Menon
Title: President
Phone: (650) 213-8585
Email: menon@optisyn.com
Research Institution
N/A
Abstract
This proposal addresses the feasibility of developing a generic system framework for automatically recognizing handwritten text for non-Arabic languages using Arabic-style script such as Urdu or Pashto. Despite recent progress in automatic handwritten Arabic recognition, little attention has been paid to non-Arabic languages using Arabic-style scripts. Nonetheless, automatic recognition of non-Arabic languages using Arabic-style scripts such as Urdu and Pashto has great potential in both military and commercial applications. Hence, the goal of this proposal is to develop a generic system framework for automatically recognizing handwritten text for non-Arabic languages using Arabic-style script. In particular, we focus on extending the optical Arabic text recognition capability to the Urdu language in which computing standards are established. The generic Arabic-style script recognition system will be based on the Hidden Markov Model approach that is suitable for cursive and context-sensitive Urdu scripts. Various feature-extraction algorithms will be implemented based on the proposed generic handwritten Arabic-style script recognition framework. We shall evaluate the basic performance of the developed system using a handwritten Urdu database collected during Phase I.

* information listed above is at the time of submission.

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