CNN for Image Identification of Hiragana Based on Pattern Recognition using CNN
نویسندگان
چکیده
Hiragana is one of the letters in Japanese. In this study, CNN (Convolutional Neural Network) method used as identication method, while he preprocessing thresholding. Then carry out normalization stage and filtering to remove noise image. At training use maxpooling danse methods a liaison process, wherea testing using Adam Optimizer method. Here, we 1000 images from 50 hiragana characters with ratio 950: 50, 950 data data. Our experiment yield accuracy 95%.
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ژورنال
عنوان ژورنال: JAIS (Journal of Applied Intelligent System)
سال: 2021
ISSN: ['2502-9401', '2503-0493']
DOI: https://doi.org/10.33633/jais.v6i2.4586