Optical Character Recognition for Arabic Ruq

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,853.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
W15P7T-08-C-G201
Award Id:
81472
Agency Tracking Number:
A072-095-1078
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
727 Airport Boulevard, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
197187602
Principal Investigator:
GlennBeach
Research Engineer
(734) 668-2567
proposals@cybernet.com
Business Contact:
CharlesJacobus
President
(734) 668-2567
proposals@cybernet.com
Research Institute:
n/a
Abstract
In the ongoing efforts in Operation Iraqi Freedom (OIF) and Operation Enduring Freedom (OEF), as well as the continuing Global War on Terror (GWOT), U.S. forces gain valuable information from captured documents. While these documents are typically written in Arabic, there are not enough U.S. personnel trained in reading Arabic to expediently read and understand the captured information. Since the information has the most value while it is still fresh, the U.S. military has started to use Arabic based optical character recognition (OCR) to quickly convert the Arabic text into English. While these commercial OCR packages work well with machine-produced documents, their performance is quickly and significantly degraded on more typical hand-written Arabic documents. The problems are compounded when the original document contains even small levels of noise or other sources of image degradation. In order to more quickly and effectively process collected information there is a need for an automated system to process this handwritten text. We propose to leverage our experience with developing previous image processing and handwriting recognition systems to develop a system for performing optical character recognition (OCR) on the most commonly used Arabic script, Ruq'ah

* information listed above is at the time of submission.

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