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A SYSTEM FOR MACHINE READING OF CHEMICAL SYMBOLS

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
8034
Program Year/Program:
1988 / SBIR
Agency Tracking Number:
8034
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
WESTERN RESEARCH COMPANY, INC.
3275 W INA RD, STE 215 TUCSON, AZ -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1988
Title: A SYSTEM FOR MACHINE READING OF CHEMICAL SYMBOLS
Agency: HHS
Contract: N/A
Award Amount: $50,000.00
 

Abstract:

THIS PROJECT WILL LEAD TO THE DEVELOPMENT OF A PROOF-OF-PRINCIPLE SYSTEM FOR MACHINE READING AND UNDERSTANDING OF HARDCOPY, GRAPHICAL CHEMICAL STRUCTURES. THIS RESEARCH WILL PROVIDE A BASIS FOR DEVELOPING INTELLIGENT INPUT DEVICES FOR ENTRY OF CHEMICAL STRUCTURE DATA INTO EXISTING AND FUTURE CHEMICAL INFORMATION ANALYSIS AND CLASSIFICATION SYSTEMS. SUCH SYSTEMS HAVE APPLICATIONS FOR CHEMICAL PATENT SEARCHES, CHEMICAL DESIGN AND ANALYSIS, AND EDUCATION. DEVELOPMENT OF THE PROOF-OF-PRINCIPLE CHEMICAL STRUCTURE READER WILL REQUIRE A UNIQUE BLEND OF CURRENT TECHNOLOGIES, INCLUDING ELECTRONIC IMAGING, PATTERN RECOGNITION AND ANALYSIS, AND COMPUTER HANDLING OF CHEMICAL INFORMATION. THE READER WILL BE A MICROCOMPUTER-BASED SYSTEM USING A CCD CAMERA TO CAPTURE PAGE IMAGES CONSISTING OF CHEMICAL STRUCTURE DIAGRAMS. THESE IMAGES WILL BE DIGITIZED AND TRANSMITTED TO THE COMPUTER WHERE THE IMAGE DATA WILL BE PREPROCESSED INTO A FORMAT UNDERSTANDABLEBY PATTERN RECOGNITION ALGORITHMS. THE ALGORITHMS WILL TRANSFORM THE DATA FROM A COLLECTION OF GRAPHIC ELEMENTS INTO CHEMICAL STRUCTURE INDICES CHARACTERIZING THE CHEMICAL.THE SPECIFIC GOAL OF THE PHASE I EFFORT WILL BE TO DEVELOP ASYSTEM CAPABLE OF AUTOMATICALLY READING CHEMICAL STRUCTURE DIAGRAMS FROM A LIMITED SET AND CORRECTLY IDENTIFYING THE CHEMICAL.

Principal Investigator:


0

Business Contact:

Small Business Information at Submission:

Western Research Co
2030 Speedway Ste 213 Tucson, AZ 85719

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No