Title :
CASIA Online and Offline Chinese Handwriting Databases
Author :
Liu, Cheng-Lin ; Yin, Fei ; Wang, Da-Han ; Wang, Qiu-Feng
Author_Institution :
Nat. Lab. of Pattern Recognition (NLPR), Inst. of Autom., Beijing, China
Abstract :
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.
Keywords :
document image processing; handwritten character recognition; visual databases; Anoto pen on papers; CASIA; handwritten document analysis; handwritten texts; offline Chinese handwriting databases; offline databases; offline images; online Chinese handwriting databases; online trajectory data; standard training; test subsets; Character recognition; Databases; Handwriting recognition; Image segmentation; Text recognition; Training; Writing; Chinese handwriting databases; handwritten texts; isolated characters; offline; online;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2011.17
