scholarly journals ILBPSDNet: Based on improved local binary pattern shallow deep convolutional neural network for character recognition

2021 ◽  
Author(s):  
Shih‐Hsiung Lee ◽  
Wei‐Fu Yu ◽  
Chu‐Sing Yang
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Character Recognition ◽  
Local Binary Pattern ◽  
Deep Convolutional Neural Network

scholarly journals Japanese Historical Character Recognition using Deep Convolutional Neural Network (DCNN) with Drop Block Regularization

2019 ◽  
Vol 8 (2) ◽  
pp. 3510-3515
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Character Recognition ◽  
Open Data ◽  
Modern Society ◽  
Public Domain ◽  
Deep Convolutional Neural Network ◽  
History Of

The history of a country always helps in the development of making modern society. Japanese classical handwritten/literature dataset Kuzushiji-MNIST and Kuzushiji-49 recently introduced in public domain by Center of Open Data in the Humanities (CODH). The availability of the datasets invite the researchers in different domains. The hidden treasure of information in these datasets resolved and worked by many researchers. The research on these datasets can be helpful to explore and analyze the detail of Japanese era/literature, which ultimately helps in the development of modern society. In this study, Deep Convolutional Neural Network (DCNN) with DropBlock regularization is used to recognize the hiragana characters in Japanese historical script.

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