Rearrangement of Recognized Strokes in Online Handwritten Gurmukhi Words Recognition

Author

Sharma, Anuj ; Kumar, Rajesh ; Sharma, R.K.

Author_Institution

Dept. of Math., Panjab Univ., Chandigarh, India

fYear

2009

Firstpage

1241

Lastpage

1245

Abstract

This paper presents a system to recognize online handwritten Gurmukhi words. We have proposed a new step as rearrangement of recognized strokes in online handwriting recognition procedure. The rearrangement of recognized strokes includes: strokes identification as dependent and major dependent strokes; the rearrangement of strokes with respect to their positions; the combination of strokes to recognize character. We have achieved an overall recognition rate as 81.02% in online handwritten cursive handwriting for a set of 2576 Gurmukhi dictionary words.

Keywords

handwritten character recognition; natural language processing; online handwritten Gurmukhi dictionary word recognition; stroke identification; stroke recognition rearrangement; Character recognition; Computer applications; Data preprocessing; Dictionaries; Foot; Handwriting recognition; Mathematics; Natural languages; Speech recognition; Text analysis; Online handwriting recognition; post-processing; words recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on

Conference_Location

Barcelona

ISSN

1520-5363

Print_ISBN

978-1-4244-4500-4

Electronic_ISBN

1520-5363

Type

conf

DOI

10.1109/ICDAR.2009.36

Filename

5277657