M.Com. (Informatics) / This dissertation examines the field of computer vision, with special attention given to the recognition of alpha numeric characters on video images using OCR software. The study may be broadly divided into four sections. The first section offers an introduction to standard OCR (Optical Character Recognition) methods that have evolved over the years and have been incorporated into some commercial software packages currently. The second section covers the problem of reading characters in a dynamic environment and also the problems experienced with the compatibility of current OCR software products. The third section of the dissertation looks at solutions for the problem mentioned in section two and creates a framework for a generic model in which any application should fit. The generic model is then described in detail. The framework should provide a foundation for interested parties to build, modify or improve the model. The final section gives examples of how the model should present a solution. Experimental results are looked at and the model is critically evaluated.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:13097 |
| Date | 20 November 2014 |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Thesis |
| Rights | University of Johannesburg |
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