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Palynological data are used in wide range application, the pattern recognition of pollen grains is very important in the determination of the original floral honey, and the prediction of the allergy, which touches lot of people. Due to the high computing time needed for classification of the pollen grains and complex architecture of the neural networks, the genetic algorithm is used in order to find...
This paper presents an OCR method that combines the complementary similarity measure (CSM) method with a set of autossociators for degraded character recognition. In the serial combination, the first classifier must achieve lower errors and be very well suited for rejection, whereas the second classifier must allow only low errors and rejects. We introduce a rejection criterion mode used as a quality...
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