SBIR/STTR Research Award

Effective Character Restoration and Enhancement for Arabic Text Documents

Award identifier c03ccfb30968a8bf993b1dcc823bbb71cdbf37b7ee74d67f7a4f8e78addc4f0aAwarding agency Department of Defense · Army

Award amount

$727,257

Program and phase

SBIR · Phase II

Award year

2007

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
POLAR RAIN, INC.
Proposal award date
2007-09-21
Contract end date
2009-09-21
UEI
E1KDDQGL9KF1
Solicitation number
2006.2
Topic code
A06-101

Research abstract

Polar Rain proposes to develop fast and efficient character restoration and image enhancement algorithms and software for Arabic text document images. Our proposed approach brings innovative solution designed to work on degraded Arabic text document images combining non-language specific image enhancement methods with Arabic specific character restoration algorithm. Computation models used in algorithms takes advantage of Arabic character shapes and appearance features to remove artifacts, marks, general noise during enhancement process. Proposed software design allows seamless integration with third party OCR products through set of application programming interfaces and provides significant increase in their recognition accuracy on degraded Arabic document images. We will deliver and demonstrate our prototype software with fully integrated COTS Arabic OCR product as well as Polar Rain’s OCR products.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

7 SBIR/STTR records share this UEI (2003–2011). Reported award amounts total $3,199,691. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Homeland Security

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

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