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Published in:
2018 | OriginalPaper | Chapter
Generating Realistic Chinese Handwriting Characters via Deep Convolutional Generative Adversarial Networks
Authors : Chenkai Gu, Jin Liu, Lei Kong
Published in: Advances in Computer Science and Ubiquitous Computing
Publisher: Springer Singapore
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Abstract
A person can hardly write a totally same handwriting character, more or less, there will be some tiny difference between each character. Usually, we use a neural network to generate handwriting characters, but each time we want this model to output a character, it will always the totally same. To solve this tiny different problem, we use a special neural network called DCGANs (deep convolutional generative adversarial networks). Experiments show that our method achieves good performance.