A novel orientation free method for online unconstrained cursive handwritten chinese word recognition

Author

Long, Teng ; Jin, Lianwen

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

In this paper, we propose an orientation free method for unconstrained cursive handwritten chinese word recognition. By a novel gravity center balancing method, the orientation of a handwritten word can be detected. Through the process of stroke extraction, stroke breaking, heuristic over-segmentation and path searching by recognition and lexicon information, the handwritten word with characters even connected or partially overlapped can be recognized. Experiments were performed on 173,660 unconstrained handwritten Chinese word samples collected by Pocket PC. The promising experimental results demonstrated our method is an orientation free and stroke-order free method for unconstrained cursive handwritten Chinese word recognition.

Keywords

handwritten character recognition; natural language processing; gravity center balancing method; heuristic over-segmentation; lexicon information; online unconstrained cursive handwritten Chinese word recognition; orientation free method; path searching; stroke breaking; stroke extraction; Character recognition; Clocks; Consumer electronics; Data mining; Gravity; Handwriting recognition; Keyboards; Mobile handsets; Personal digital assistants; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761544

Filename

4761544