Fuzzy Template Matching for Printing Character Inspection
نویسندگان
چکیده
In this paper, a fuzzy template matching method is proposed and the application on real time printing character quality inspection is illustrated. The method is robust in handling CCD images with poor quality due to illumination variation, dithering and motion blur, etc. Based on multi-level thresholding, fuzzy templates are constructed offline for all characters in certain font type and size. In inspection, multi-level thresholding is first applied on the real time input CCD images to construct the binary images at different levels to adapt to different quality problems. Then the dynamically updated fuzzy templates are used to match with the binary images at different levels to identify different quality problems. Experimental results and industrial applications on currency printing system are rather satisfactory. Key-Words: Machine Vision, Fuzzy System, Template Matching, Real Time Quality Inspection, Multi-level Thresholding
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