Deakin University
Browse

File(s) under permanent embargo

Arabic script based character segmentation: a review

Version 2 2024-06-05, 06:29
Version 1 2019-11-26, 10:50
conference contribution
posted on 2024-06-05, 06:29 authored by S Naz, K Hayat, Imran RazzakImran Razzak, MW Anwar, H Akbar
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. © 2013 IEEE.

History

Location

Sousse, Tunisia

Start date

2013-06-22

End date

2013-06-24

ISBN-13

9781479904600

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

WCCIT 2013 : World Congress on Computer and Information Technology

Event

Computer and Information Technology. World Congress (2013 : Sousse, Tunisia)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC