IADIS International Journal on Computer Science and Information Systems

Published by IADIS (International Association for Development of the Information Society) • ISSN (Online): 1646-3692 • ISSN (Print): 1646-3692
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Persian/arabic Captcha1

Mohammad Hassan Shirali-Shahreza Computer Engineering Department *
Yazd University *
Pejoohesh Street *
Safa-ieh Researcher *
P.O.Box 89195- *
Yazd Researcher *
IRAN Researcher *
* Mohammad Shirali-Shahreza Computer Science Department, Sharif University of Technology, Azadi Street, P.O.Box 11365–9415, Tehran, IRAN (Portugal)
* Mohammad Shirali-Shahreza Computer Science Department, Sharif University of Technology, Azadi Street, P.O.Box 11365–9415, Tehran, IRAN (Portugal)
* Mohammad Shirali-Shahreza Computer Science Department, Sharif University of Technology, Azadi Street, P.O.Box 11365–9415, Tehran, IRAN (Portugal)
* Mohammad Shirali-Shahreza Computer Science Department, Sharif University of Technology, Azadi Street, P.O.Box 11365–9415, Tehran, IRAN (Portugal)
* Mohammad Shirali-Shahreza Computer Science Department, Sharif University of Technology, Azadi Street, P.O.Box 11365–9415, Tehran, IRAN (Portugal)
* Mohammad Shirali-Shahreza Computer Science Department, Sharif University of Technology, Azadi Street, P.O.Box 11365–9415, Tehran, IRAN (Portugal)
* Mohammad Shirali-Shahreza Computer Science Department, Sharif University of Technology, Azadi Street, P.O.Box 11365–9415, Tehran, IRAN (Portugal)

Abstract

Nowadays, many daily human activities such as education, trade, talks, etc are done by using the Internet. In such things as registration on Internet web sites, hackers write programs to make automatic false registration that waste the resources of th e web sites while it may al so stop it from functioning. Therefore, human users should be distinguished fro m computer programs. To this end, this paper presents a method for distinction of Persian and Arabic-language users from computer programs based on Persian and Arabic texts. In th is method, the image of a Persian or Arabic word chosen from a dictionary is shown to the user and he is asked to type it. Considering that the presently available Persian and Arabic OCR programs cannot identify these words, the word can be identified only by a Persian or Arabic-language user. The proposed method has been implemented by the Java language.

Keywords

Completely Automated Public Turing test to tell Computers and Human Apart (CAPTCHATM) Persian and Arabic Text Optical Character Recognition (OCR) Internet Security Turing Test.
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Declarations & Ethics

Funding: This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest: The authors declare no competing financial or institutional interests.
Peer Review: Double-blind peer reviewed by international subject specialists.
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Department, et al. (2006). Persian/arabic Captcha1. IADIS International Journal on Computer Science and Information Systems, 1(2). https://doi.org/10.33965/ijcsis_2006_v1i2_06
Department, et al. "Persian/arabic Captcha1." IADIS International Journal on Computer Science and Information Systems, vol. 1, no. 2, 2006. https://doi.org/10.33965/ijcsis_2006_v1i2_06
Department, et al. "Persian/arabic Captcha1." IADIS International Journal on Computer Science and Information Systems 1, no. 2 (2006). https://doi.org/10.33965/ijcsis_2006_v1i2_06