Author(s):
Mohammad Hassan Shirali-shahreza,
Mohammad Shirali-shahreza
Paper 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 the web sites while it may also stop it from functioning. Therefore, human users should be distinguished from 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 this 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.
Type:
Journal Paper
Full Contents (click to dowload):
First Page: 63
Last Page: 75
Year:
2006
Editors:
Pedro Isaías and Marcin Paprzycki
ISBN:
ISSN: 1646-3692
Language:
English
Conference Name:
IADIS International Journal on Computer Science and Information System
