Paper
30 January 1990 Automatic Object Detection And Recognition Using Simple Geometric Primitives.
Stanley H. Smith, Youcef Oubraham
Author Affiliations +
Abstract
The template matching method has been more successful in character symbols recognition than in object recognition. The major disadvantage in the later type of problems is that the number of templates that needs to be stored increases with the number of different objects to be recognized. The relatively small and fixed number of basic symbols used in writing any word in a given language is what makes template matching the most widely used method in problems related to the recognition of handwritten or printed character symbols.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stanley H. Smith and Youcef Oubraham "Automatic Object Detection And Recognition Using Simple Geometric Primitives.", Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); https://doi.org/10.1117/12.962339
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KEYWORDS
Digital image processing

Digital filtering

Image filtering

Object recognition

Edge detection

Linear filtering

Feature extraction

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