Deep template matching for offline handwritten Chinese character recognition

Deep template matching for offline handwritten Chinese character recognition

Just like its remarkable achievements in many computer vision tasks, the convolutional neural networks provide an end-to-end solution in handwritten Chinese character recognition (HCCR) with great success. However, the process of learning discriminative features for image recognition is difficult in...

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Bibliographic Details
Main Authors: Zhiyuan Li, Yi Xiao, Qi Wu, Min Jin, Huaxiang Lu
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
learning (artificial intelligence)
handwritten character recognition
image classification
feature extraction
computer vision
convolutional neural nets
offline handwritten chinese character recognition
deep template
icdar-2013 offline hccr datasets
training set
predictive power
powerful discriminative features
training process
simple binary classification problem
template images
siamese neural network
image recognition
convolutional neural networks
computer vision tasks
remarkable achievements
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0895

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0895

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