SBIR/STTR Research Award

Effective Character Restoration and Enhancement for Arabic Text Documents

Award identifier 1fdc70443a0e26ddbdc79c2ff7ad0e3f3830dd334847cea0971b23662d1e70eeAwarding agency Department of Defense · Army

Award amount

$119,639

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
POLAR RAIN, INC.
Proposal award date
2006-11-07
Contract end date
2007-12-10
UEI
E1KDDQGL9KF1
Solicitation number
2006.2
Topic code
A06-101

Research abstract

Polar Rain proposes to design and 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 characters shapes and appearance features while removing artifacts, marks general noise during enhancement process. Proposed software design allows seamless integration third party OCR products with set of application programming interfaces. We will evaluate and conduct experiments to measure feasibility and superiority of proposed solution over exiting image enhancement and character restoration algorithms using COTS OCR product as well as Polar Rain’s mobile OCR software.

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

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