Pattern augmentation for classifying handwritten japanese hiragana characters of 46 classes by using CNN pre-trained with object images-Reference-Cited by-同舟云学术

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Pattern augmentation for classifying handwritten japanese hiragana characters of 46 classes by using CNN pre-trained with object images

Published:2019-03-15 Issue: Volume: Page:
ISSN:
Container-title:Eleventh International Conference on Machine Vision (ICMV 2018)
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Author:

Shima Yoshihiro,Omori Yuki,Nakashima Yumi,Yasuda Michio

Publisher

SPIE

Reference32 articles.

1. National Institute of Advanced Industrial Science and Technology (AIST), “ETL Character Database ETL9B,” [Online]. Available: http://etlcdb.db.aist.go.jp/, (1984)

2. ICDAR 2013 Chinese Handwriting Recognition Competition;Yin,2013

3. A pattern recognition approach for handwritten hiragana character identification;Das,2012

4. A nonlinear normalization method for handprinted kanji character recognition-line density equalization

5. Classification of handprinted Chinese characters using nonlinear normalization and correlation methods

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