Fiscal Year:
1994
Title:
HARDWARE IMPLEMENTATION OF OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORKS
Agency / Branch:
DOD / DARPA
Contract:
N/A
Award Amount:
$226,065.00
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.
Principal Investigator:
Louis Baker
Principal Investigator
5057687649
Business Contact:
Small Business Information at Submission:
Adaptive Solutions Inc.
1400 Nw Comptom Drive Suite 340 Beaverton, OR 97006
EIN/Tax ID:
DUNS:
N/A
Number of Employees:
N/A
Woman-Owned:
No
Minority-Owned:
No
HUBZone-Owned:
No