DocumentCode :
2061393
Title :
On-line handwritten character pattern database sampled in a sequence of sentences without any writing instructions
Author :
Nakagawa, Masaki ; Higashiyama, Takao ; Yamanaka, Yukiko ; Sawada, Shin-ichi ; Higashigawa, Levan ; Akiyama, Katsuhiko
Author_Institution :
Dept. of Comput. Sci., Tokyo Univ. of Agric. & Technol., Japan
Volume :
1
fYear :
1997
fDate :
18-20 Aug 1997
Firstpage :
376
Abstract :
The paper presents a database of on-line handwritten character patterns sampled in a sequence of sentences without any instructions. The sentences according to which character patterns are collected have been picked up from newspaper to include 1227 frequently appearing character categories with the result that they are composed of about 10000 characters and include 1537 JIS 1st level character categories. The rest of the JIS 1st level 1808 categories have been added at the end of the above text and written one by one. The total text has been commonly employed for collecting script patterns from a number of people. Patterns offered were inspected and omissions and wrong patterns were rewritten. The authors collected data from 80 people and made the 12000×80 patterns available from February 1996. More patterns are being collected. The paper describes the characteristics of this database as well as several tools to collect patterns
Keywords :
character recognition; document image processing; JIS 1st level character categories; frequently appearing character categories; newspaper; omissions; on-line handwritten character pattern database; script pattern collection; sentence sequences; text; wrong patterns; Agriculture; Character recognition; Computer interfaces; Computer science; Databases; Handwriting recognition; Laboratories; Pattern recognition; Research and development; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
Type :
conf
DOI :
10.1109/ICDAR.1997.619874
Filename :
619874
Link To Document :
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