DocumentCode :
3325686
Title :
Arabic script based character segmentation: A review
Author :
Naz, Sabiha ; Hayat, K. ; Razzak, Muhammad Imran ; Anwar, Muhammad Waqas ; Akbar, Habib
Author_Institution :
COMSATS Inst. of Inf. Technol., Abbottabad, Pakistan
fYear :
2013
fDate :
22-24 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
Segmentation based Arabic script based languages character recognition has been a popular field of research for many years. The challenging nature of Arabic script recognition has attracted the attention of researchers from both industry and academic circles but these efforts have not achieved good results until now. Segmentation of Urdu script when written in Nasta´liq writing style is very difficult task due to the complexity of writing style as compare to Naskh writing style. Good segmentation is one of reasons for high accuracy. Character segmentation has been a critical phase of the OCR process. The higher recognition rates for isolated characters as compare to results of words or connected character well illustrate the importance of segmentation. Current study investigate the recent work for character segmentation and challenges for segmentation for Arabic script based languages.
Keywords :
image segmentation; natural languages; optical character recognition; Arabic script based languages; Arabic script recognition; Naskh writing style; Nasta´liq writing style; OCR process; Urdu script; character segmentation; optical character recognition; recognition rates; Accuracy; Character recognition; Complexity theory; Image segmentation; Optical character recognition software; Shape; Writing; Character Recognition; Nastaliq; Segmentation; Urdu OCR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (WCCIT), 2013 World Congress on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-0460-0
Type :
conf
DOI :
10.1109/WCCIT.2013.6618741
Filename :
6618741
Link To Document :
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