A combinational approach of neural and fuzzy logic to recognize hand- written Bengali character
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چکیده
This thesis deals with the application of neural network and fuzzy logic based techniques for designing algorithm to recognize handwritten Bengali character. Fuzzy measures are related to methods of robust statistics, namely linear combinations of order statistics, which are used for combining information that may contain outliers, a common situation in handwriting recognition. Here first Character confidence values are assigned then Segments contextual information are given and finally Character confidence values are aggregated from segmentation.
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تاریخ انتشار 2004