Application Of Image Correlation For Optical Character Recognition In Printed Circuit Board Inspection

W. Piegorsch; H. Stark; M. Farahani

doi:10.1117/12.944884

4 December 1984 Application Of Image Correlation For Optical Character Recognition In Printed Circuit Board Inspection

W. Piegorsch, H. Stark, M. Farahani

Proceedings Volume 0504, Applications of Digital Image Processing VII; (1984) https://doi.org/10.1117/12.944884
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

Abstract

Correlation techniques are used to identify characters on integrated circuit components for the purpose of verifying that the correct component has been located on the printed circuit board prior to wave soldering. The circuit components are inspected using a computer controlled vision system and the appropriate character string located. The individual characters are isolated within the string and identified. The resultant is an aggregate number that identifies the component and is compared against a location database to verify that the component is indeed correctly located. Initially, font samples of all expected characters are required and used for identification. Further studies suggest the use of character primitives to eliminate the need for a large font database. Heuristic and optimal primitives are considered and tested against a specific component class.

Citation Download Citation

W. Piegorsch, H. Stark, and M. Farahani "Application Of Image Correlation For Optical Character Recognition In Printed Circuit Board Inspection", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944884

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