Random Image Matching CAPTCHA System
Hajjdiab, Hassan (Abu Dhabi University (Unió dels Emirats Àrabs ). Department of Computer Science and Information Technology)
Ghazal, Mohammed (Abu Dhabi University (Unió dels Emirats Àrabs ). Department of Electrical and Computer Engineering)
Khalil, Ashraf (Abu Dhabi University (Unió dels Emirats Àrabs ). Department of Computer Science and Information Technology)

Date:	2017
Abstract:	Security risks is an important issues and caught the attention of researchers in the area of networks, web development, human computer interaction and software engineering. One main challenge for online systems is to identify whether the users are humans or software robots (bots). While it is natural to provide service to human users, providing service for software robots (bots) comes with many security risks and challenges. Software robots are often used by spammers to create fake online accounts, affect search engine ranking, take part in on-line polls, send out spam or simply waste the resources of the server. In this paper we introduce a visual CAPTCHA technique that is based on generating random images by the computer, theuser is then asked to match a feature point between two images (i. e. solve the correspondence problem as defined by the researchers in the computer vision area). The relationship between the two images is based on a randomly generated homography transformation function. The main advantage of our approach compared to other visual CAPTCHA techniques is that we eliminate the need for a database of images while retaining ease of use.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	CAPTCHA ; Internet security ; Computer vision ; Image matching
Published in:	ELCVIA. Electronic letters on computer vision and image analysis, Vol. 16 Núm. 3 (2017) , p. 1-13 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v16-n3-hajjdiab
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/328492
DOI: 10.5565/rev/elcvia.1036

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