SBIR/STTR Research Award

Hybrid Adaptive Noise Detection and Isolation (HANDI) Algorithm for Automatic Denoising

Award identifier 991d36961c069719c6819f7d64a5d1f853fee5b8dae387378eed873615561171Awarding agency Department of Defense · Army

Award amount

$149,944

Program and phase

SBIR · Phase I

Award year

2018

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
NOKOMIS INC
Proposal award date
2018-01-26
Contract end date
2019-12-13
UEI
YAPUZLNJ1856
Solicitation number
17.3
Topic code
A17-142

Research abstract

Optical Character Recognition (OCR) is confounded by noise and damage in real world documents. Preprocessing documents to remove noise will improve the performance of current OCR software. Nokomis will implement an automated search for promising preprocessing algorithms. The search will be performed using Arabic text documents with known ground truth that have been aged in a controlled way. The most promising algorithms for each type of noise will be fused together into a combined preprocessing algorithm. The automatically generated denoising algorithm will be validated using real world Arabic text documents.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

123 SBIR/STTR records share this UEI (2005–2025). Reported award amounts total $66,765,345. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, Department of Health and Human Services, National Science Foundation, Department of Homeland Security

Agency intelligence

Department of Defense

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