A Study on A Recognition Algorithm of Handwritten Japanese DocumentUsing Syntax Self-Organization Model With Data Mining

点击翻译按钮获取中文摘要

It is difficult to realize high recognition accuracy in Japanese handwritten document recognition, since a writer's peculiarity appeared strongly in type and the text itself don’t agree in Japanese syntax. In this research, we propose the self-organization model of Japanese syntax using natural language processing a data mining, and the self-organization model of learning patterns of chinese character recognition. As a result, the recognition accuracy of Japanese handwritten document is improved compared with the conventional method.