On the automatic reading of printed Arabic characters

Author

Tolba, M.F. ; Shaddad, E.

Author_Institution

Sci. Comput. Center, Ain Shams Univ., Cairo, Egypt

fYear

1990

fDate

4-7 Nov 1990

Firstpage

496

Lastpage

498

Abstract

A segmentation algorithm for the separation of cursive Arabic text is proposed. The algorithm is used to define a set of primitives (thin identifiers), each of which is either a character or a part of a character. The analysis shows that the segmented parameters of powers one and two are acceptable for the segmentation process; however, the parameter of power two is recommended, due to its sensitivity in presenting the thin identifiers. The location adopted for the Arabic line of writing is 40%-44% when measured from the bottom level of text for most popular fonts. This value is useful for the blind evaluation of the line for any Arabic text. The analysis shows that the distortion arising from the segmentation process has no effect on recognition sensitivity

Keywords

character recognition; character sets; computerised pattern recognition; natural languages; automatic reading; character sets; primitives; printed Arabic character recognition; recognition sensitivity; segmentation algorithm; thin identifiers; Algorithm design and analysis; Character recognition; Desktop publishing; Distortion measurement; Large-scale systems; Position measurement; Scientific computing; Shape; Text recognition; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on

Conference_Location

Los Angeles, CA

Print_ISBN

0-87942-597-0

Type

conf

DOI

10.1109/ICSMC.1990.142156

Filename

142156