DocumentCode
3145515
Title
Online recognition of single stroke handwritten Urdu characters
Author
Haider, Ihtesham ; Khan, Kamran Ullah
Author_Institution
DEE, PIEAS, Islamabad, Pakistan
fYear
2009
fDate
14-15 Dec. 2009
Firstpage
1
Lastpage
6
Abstract
Digitizing tablets provides a faster and accurate method to input handwritten characters to the computer. Recognition of Urdu handwritten characters is a difficult task due to large character set of Urdu and redundancy of the strokes. In this paper we present a method for online recognition of single stroke handwritten Urdu characters. Novel features have been proposed to ease classification. Digitizing tablet has been used to obtain the handwriting online.
Keywords
handwriting recognition; online recognition; single stroke handwritten urdu characters; tablet digitizing; Character recognition; Data acquisition; Feature extraction; Finishing; Handwriting recognition; Neural networks; Optical computing; Sensor arrays; Smoothing methods; Testing; Back Propagation Neural Network (BPNN); Probabilistic Neural Network (PNN); correlation based classifier; handwriting recognition; stroke; template;
fLanguage
English
Publisher
ieee
Conference_Titel
Multitopic Conference, 2009. INMIC 2009. IEEE 13th International
Conference_Location
Islamabad
Print_ISBN
978-1-4244-4872-2
Electronic_ISBN
978-1-4244-4873-9
Type
conf
DOI
10.1109/INMIC.2009.5383108
Filename
5383108
Link To Document