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Title:
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PERSIAN/ARABIC CAPTCHA |
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Author(s):
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Mohammad Hassan Shirali-shahreza , Mohammad Shirali-shahreza |
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ISBN:
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ISSN: 1646-3692 |
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Editors:
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Pedro Isaías and Marcin Paprzycki |
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Year:
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2006 |
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Edition:
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V I, 2 |
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Keywords:
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Completely Automated Public Turing test to tell Computers and Human Apart (CAPTCHATM), Persian and Arabic Text, Optical Character Recognition (OCR), Intern |
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Type:
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Journal Paper |
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First Page:
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63 |
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Last Page:
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75 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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