Recognition-Based Segmentation Algorithm for On-Line Arabic Handwriting

Author

Daifallah, Khaled ; Zarka, Nizar ; Jamous, Hassan

Author_Institution

Fac. of Inf. Technol. Eng., Damascus Univ., Damascus, United Arab Emirates

fYear

2009

Firstpage

886

Lastpage

890

Abstract

In this paper, we introduce an on-line Arabic handwritten recognition system based on new stroke segmentation algorithm. The proposed algorithm uses an over segmentation method that has the advantage of giving all correct segments at least. It is based on arbitrary segmentation followed by segmentation enhancement, consecutive joints connection and finally segmentation point locating. The proposed system gives an excellent recognition rate up to 97% and 92% for words and letter recognition.

Keywords

handwriting recognition; handwritten character recognition; image enhancement; image recognition; image segmentation; online Arabic handwritten recognition system; segmentation enhancement; stroke segmentation algorithm; Algorithm design and analysis; Character recognition; Feature extraction; Handwriting recognition; Hidden Markov models; Information analysis; Information technology; Natural languages; Testing; Text analysis; HMM; On-Line Arabic Handwriting; Recognizing; Segmentation;

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.2009.169

Filename

5277540