笔迹
计算机科学
性格(数学)
汉字
在线和离线
人工智能
手写体识别
自然语言处理
数据库
情报检索
特征提取
数学
几何学
操作系统
作者
Cheng‐Lin Liu,Fei Yin,Da-Han Wang,Qiufeng Wang
出处
期刊:International Conference on Document Analysis and Recognition
日期:2011-09-01
卷期号:: 37-41
被引量:474
标识
DOI:10.1109/icdar.2011.17
摘要
This paper introduces a pair of online and offline Chinese handwriting databases, containing samples of isolated characters and handwritten texts. The samples were produced by 1,020 writers using Anoto pen on papers for obtaining both online trajectory data and offline images. Both the online samples and offline samples are divided into six datasets, three for isolated characters (DB1.0-C1.2) and three for handwritten texts (DB2.0-C2.2). The (either online or offline) datasets of isolated characters contain about 3.9 million samples of 7,356 classes (7,185 Chinese characters and 171 symbols), and the datasets of handwritten texts contain about 5,090 pages and 1.35 million character samples. Each dataset is segmented and annotated at character level, and is partitioned into standard training and test subsets. The online and offline databases can be used for the research of various handwritten document analysis tasks.
科研通智能强力驱动
Strongly Powered by AbleSci AI