An application of computer vision to bar code scanning

Date of Publication

1998

Document Type

Master's Thesis

Degree Name

Master of Science in Electronics and Communications Engineering

Subject Categories

Electrical and Electronics

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Lyne R. Palomar

Defense Panel Chair

Roderick Yap

Defense Panel Member

Edwin Sybingco

Antonette Camacho

Abstract/Summary

This thesis describes the application of computer vision principles to the scanning of bar codes. The scanner can automatically decode and differentiate between the EAN-13 and ITF-14 bar code symbologies. A simple CCD video camera is used as the input sensor connected to a frame grabber inside a desktop PC. The scanning software runs in the PC and is the subject of this study. It is envisioned that this system can be further enhanced and applied in robotic vision systems for classification and sorting purposes.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG02961

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

92 leaves

Keywords

Computer vision; Pattern recognition systems; Scanning systems; Product coding

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