基于深度学习的汉字书法识别研究

Research on Chinese Calligraphy Recognition Based on Deep Learning

汉字书法是一种特殊的手写体汉字,近年来手写字体识别一直是图像处理领域的一个热点研究方向。针对传统图像处理方法准确率低、识别效果差的缺陷,本文提出了一种基于深度神经网络模型的汉字书法识别方法,将深度学习算法应用于书法字体识别,极大地提高了识别准确率。

In recent years, handwritten character recognition has always been a hot research direction in the field of image processing. Aiming at the defects of low accuracy and poor recognition effect of traditional image processing methods, this paper proposes a Chinese character calligraphy recognition method based on deep neural network models. The deep learning algorithm is applied to calligraphy character recognition, which greatly improves the recognition accuracy.