HARDWARE IMPLEMENTATION OF OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$226,065.00
Award Year:
1994
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
15146
Agency Tracking Number:
15146
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1400 Nw Comptom Drive Suite, 340, Beaverton, OR, 97006
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Louis Baker
Principal Investigator
(505) 768-7649
Business Contact:
() -
Research Institution:
n/a
Abstract
WE PROPOSE TO DEMONSTRATE THE FEASIBILITY OF OPTICAL CHARACTER RECOGNITION (OCR) ON A VLSI NEUROCOMPUTER. THE OCR SYSTEM WILL USE STATE OF THE ART ARTIFICIAL NEURAL NETWORK CLASSIFIERS ONADAPTIVE SOLUTIONS' CNAPS NEUROCOMPUTER CHIPS. THE CNAPS CHIPS OFFERUNPRECEDENTED PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS. THE IMAGE PREPROCESSING OF THE OCR SYSTEM WILL ALSO EXECUTE ON THE CNAPS CHIPS. THE GOAL OF THE PHASE I RESEARCH IS TO IMPLEMENT THE OCR SOFTWARE ON ACNAPS DEVELOPMENT SYSTEM, ANALYZE I/O AND SYSTEM PERFORMANCE, AND CREATE A BOARD LEVEL ARCHITECTURE FOR AN OCR SYSTEM. THE GOAL OF THE PHASE II RESEARCH IS TO DESIGN AND BUILD THE OCR SYSTEM HARDWARE. ANTICIPATED BENEFITS/POTENTIAL COMMERCIAL APPLICATIONS - OPTICAL CHARACTER RECOGNITION TECHNOLOGY IS USEFUL TO THE DEPARTMENT OF DEFENSE FOR THE COMPUTER AIDED LOGISTICS PROGRAM, ELECTRONIC BACKUP OF EXISTING DOCUMENTS, AND FORMS PROCESSING.

* information listed above is at the time of submission.

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