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Distance features for neural network-based recognition of handwritten characters

✍ Scribed by Il-Seok Oh; Ching Y. Suen


Publisher
Springer-Verlag
Year
1998
Tongue
English
Weight
36 KB
Volume
1
Category
Article
ISSN
1433-2833

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Neural networks were trained to classify single 20 ms frames of vowels using either perceptually-based spectral representations or LPC spectra as input. Classification performance was compared with performance of several distance measures using nearest-neighbor and mean-distance decision criteria. T