|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|4663016||1345220||2015||11 صفحه PDF||ندارد||دانلود رایگان|
This paper reports a real application whose task was to recognize characters printed on metal ingots. The problem is that surface of ingots is very uneven — ingots are hot or cold, cut by rough instrument, the printing machine can be worn down, etc. In this paper, we present two original recognition methods: the first one is based on application of mathematical fuzzy logic and the second one is based on representation of an image by a fuzzy-valued function. Results of these methods are compared with a simple neural network classifier and few other common methods.
Journal: Journal of Applied Logic - Volume 13, Issue 2, Part A, June 2015, Pages 94–104