Geodesic
Aspects of fuzzy-neural network decision support in identifying the author of handwriting
Nečetkie sistemy i mâgkie vyčisleniâ, Tome 12 (2017) no. 2, pp. 97-105

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Questions of decision-making support on processing of hand-written documents are considered. The author has developed an original allocation method of unique handwriting characteristics on the basis of the line and symbols analysis. The informational content criterion is modified and parametric base divisibility is shown.
Keywords: neural net, hand-writing, clustering, identifications. 
@article{FSSC_2017_12_2_a1,
     author = {A. V. Ermolenko},
     title = {Aspects of fuzzy-neural network decision support in identifying the author of handwriting},
     journal = {Ne\v{c}etkie sistemy i m\^agkie vy\v{c}isleni\^a},
     pages = {97--105},
     publisher = {mathdoc},
     volume = {12},
     number = {2},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/FSSC_2017_12_2_a1/}
}
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A. V. Ermolenko. Aspects of fuzzy-neural network decision support in identifying the author of handwriting. Nečetkie sistemy i mâgkie vyčisleniâ, Tome 12 (2017) no. 2, pp. 97-105. http://geodesic.mathdoc.fr/item/FSSC_2017_12_2_a1/