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Handwritten hiragana classifier with minimal training data utilizing convolutional neural networks

Chouza Delgado, Adrian, Hernández, Raúl, Jiménez, José, Orozco Rosas, Ulises, Picos, Kenia
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Abstract

A robust algorithm for Japanese handwritten hiragana character classifier is proposed using a machine learning approach for minimal training data to reduce computational power and time consumption. Th...

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SPIE. DIGITAL LIBRARY

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Keywords: HandwrittenConvolutional neural networks

DOI

https://doi.org/10.1117/12.2528046

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https://repositorio.cetys.mx/handle/60000/1465

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Atribución-NoComercial-CompartirIgual 2.5 México
Except where otherwised noted, this item's license is described as Atribución-NoComercial-CompartirIgual 2.5 México
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