Avoiding Segmentation in Multi-Digit Numeral String Recognition by Combining Single and Two-Digit Classifiers Trained without Negative Examples

The objective of the present work is to provide an efficient technique for off-line recognition of handwritten numeral strings. It can be used in various applications, like postal code recognition or information extraction from fields of different forms. The proposed solution uses convolutional neur...

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Vydané v:	Symbolic and Numeric Algorithms for Scientific Computing, Proceedings s. 225 - 230
Hlavný autor:	Ciresan, D.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2008
Predmet:	Cellular neural networks Convolutional codes convolutional neural network Handwriting recognition Image analysis Image databases Image recognition Image segmentation Neural networks NIST NIST SD 19 numeral strings recognition Pixel two-digit strings classifier
ISBN:	0769535232, 9780769535234
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