UNIQUE APPLICATIONS FOR ARTIFICIAL NEURAL NETWORKS

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$50,500.00
Award Year:
1990
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
13147
Agency Tracking Number:
13147
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2408 Siebel Dr, Silver Spring, MD, 20905
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Hsing-hen Chen
(301) 384-1068
Business Contact:
() -
Research Institute:
n/a
Abstract
IN THIS PROPOSAL, WE WOULD LIKE TO CONSTRUCT AN AUTOMATIC HANDWRITTEN CHARACTER RECOGNITION SYSTEM BASED ON NEURAL NETWORK PRINCIPLES. A PRELIMINARY STUDY HAS RESULTED IN A MODEL SYSTEM THAT COULD RECOGNIZE HANDWRITTEN ENGLISH ALPHABET AND ARABIC NUMERALS IN A TENTH OF A SECOND ON A 386 MICRO-COMPUTER WITH AVERAGE ACCURACY OVER 95% IN AN OFF-LINE WRITER INDEPENDENT MODE. THE GENERALIZATION IS SO GOOD THAT IT CAN RECOGNIZE EVEN LETTERS WITH ZIGZAG BROAD STROKES THAT ARE WIDELY DISTORTED FROM ANY OF THE LETTER PATTERNS THAT IT HAD SEEN BEFORE. THE SYSTEM IS ALSO VERY SIMPLE THAT IT TAKES ONLY ABOUT 100 KBYTE OF MEMORY STORAGE. WE ARE PLANNING TO CONNECT IT TO A TEXT TO SPEECH SYSTEM TO FORM A TOTALLY AUTOMATIC SYSTEM THAT COULD READ WRITTEN TEXTS OUT ALOUD. ANTICIPATED BENEFITS/POTENTIAL COMMERCIAL APPLICATIONS - AUTOMATIC HANDWRITTEM CHARACTER RECOGNITION SYSTEM BASED ON NEURAL NETWORK PRINICIPLES IS SIMPLE, EFFICIENT, AND ACCURATE. ITS PERFORMANCE SEEMS TO SURPASS GREATLY ANY COMMERCIALLY AVAILABLE SYSTEM KNOWN. IT CAN BE USED AS A FRONT END FOR A DOCUMENT PROCESSING SYSTEM IT TO CLASSIFY OR RETRIEVE TEXT DATA AUTOMATICALLY. WITH MODIFICATIONS, IT COULD ALSO BE FITTED INTO AN AUTOMATIC TARGET RECOGNITION SYSTEM. THE COMMERCIAL AND MILITARY POTENTIAL OF THIS SYSTEM IS ENORMOUS. KEY WORDS - NEURAL ??????

* information listed above is at the time of submission.

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