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Examples in the NIST SD19 data of: (a) a handwriting sample form, and (b) some images of handwritten digits extracted from the forms.

Examples in the NIST SD19 data of: (a) a handwriting sample form, and (b) some images of handwritten digits extracted from the forms.

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Training fuzzy ARTMAP neural networks for classification using data from com-plex real-world environments may lead to category proliferation, and yield poor performance. This problem is known to occur whenever the training set contains noisy and overlapping data. Moreover, when the training set contains identical input patterns that belong to diffe...

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... NIST SD19 17 data set has been selected due to the great variability and difficulty of such handwriting recognition problems (see Figure 4). It consists of images of handwritten sample forms (hsf) organized into eight series, hsf-{0,1,2,3,4,6,7,8}. ...