Title :
Online Arabic handwriting character recognition using matching algorithm
Author :
Omer, Marwan Ali H ; Ma, Shi Long
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
Abstract :
It very hard to collect a large set of handwriting samples used as training set. We generate a good handwriting Arabic character samples, the algorithm learns the stroke direction of the handwriting Arabic character from those real samples. In this paper, we present decision tree and matching algorithm to learn the stroke direction of the Arabic character and recognize the online Arabic handwriting isolated character. Experiments show the results and achieved a high online recognition rate for isolated Arabic character.
Keywords :
decision trees; handwritten character recognition; image matching; decision tree; matching algorithm; online Arabic handwriting character recognition; stroke direction; Character generation; Character recognition; Classification tree analysis; Computer science; Decision trees; Handwriting recognition; Image recognition; Pixel; Text recognition; Writing; decision tree; matching algorithm; online Arabic character recognition;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451492
