用于手写体汉字识别的大型手写体汉字数据库

Honggang Zhang, Jun Guo, Guang Chen, Chun-Guang Li
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引用次数: 63

摘要

在本文中,我们提出了一个大型的离线手写体汉字数据库- hcl2000,它将向研究界公开。该数据库包含3755个常用的简体字,由1000个不同的主体书写。作者信息被纳入数据库,便于对不同背景(如年龄、职业、性别、教育程度等)的作者进行分组测试。我们考察了不同作家群体的写作风格特征。我们使用三种不同的算法作为基线来评估HCL2000数据库。我们决定将数据库与本文一起发布,并将其免费用于研究目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HCL2000 - A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition
In this paper, we present a large scale off-line handwritten Chinese character database-HCL2000 which will be made public available for the research community. The database contains 3,755 frequently used simplified Chinesecharacters written by 1,000 different subjects. The writers’ information is incorporated in the database to facilitate testing on grouping writers with different background such as age, occupation, gender, and education etc. We investigate some characteristics of writing styles from different groups of writers. We evaluate HCL2000 database using three different algorithms as a baseline. We decide to publish the database along with this paper and make it free for a research purpose.
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