Image distinguish CAPTCHA / Aimi Sakinah Mohamed

Mohamed, Aimi Sakinah (2007) Image distinguish CAPTCHA / Aimi Sakinah Mohamed. Degree thesis, Universiti Teknologi Mara (UiTM).

Abstract

Image recognition CAPTCHA is not a new technology in the internet world. It also has the same objective as text recognition CAPTCHA which is to determine whether the user of the application is a bots or humans. In this paper, the researcher proposed a new type df image recognition CAPTCHA called image distinguish CAPTCHA that justrite a single click to pass the test. Through this study also, the researcher identify the characteristic df image recognition CAPTCHA and the differences between image recognition CAPTCHA and text recognition CAPTCHA. The research scope of this study is that the CAPTCHA can be implemented in web applications that using PHP platform with ih6 objective to make the web fibre secure.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohamed, Aimi Sakinah
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Wan Adnan, Wan Adilah (Assoc. Prof. Dr.)
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Programming. Rule-based programming. Backtrack programming
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Information System Engineering
Keywords: Image, Application, Internet
Date: 2007
URI: https://ir.uitm.edu.my/id/eprint/64486
Edit Item
Edit Item

Download

[thumbnail of 64486.PDF] Text
64486.PDF

Download (13kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

64486

Indexing

Statistic

Statistic details