Friday 26th of April 2024
 

A Novel Approach for Canvas Accessibility Problem in HTML5


Paniz Alipour Aghdam and Reza Ravanmehr

Canvas is a pixel-based inherently inaccessible element in HTML5. Therefore web users with vision disabilities cannot benefit from Canvas and its desired semantics and functionality. Regarding to the Canvas application in designing interactive graphical user interface, vision-impaired users may miss important information on web sites. This paper utilizes the content-based image retrieval (CBIR) technique as well as code mapping embedded in a Firefox extension to present a novel approach in order to make Canvas interactive user interface accessible. This extension replaces Canvas with an accessible equivalent HTML environment. Unlike previously done works on Canvas accessibility, the proposed approach does not impose any rules on developers and designers during Canvas design.

Keywords: Web accessibility, Canvas, HTML5, CBIR

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ABOUT THE AUTHORS

Paniz Alipour Aghdam
She received the B.Sc. in Computer Software Engineering from Azad university, Tehran Central Branch in 2007 and the M.Sc. from Azad university, Malayer Branch in 2012.Her main research interests are accessibility, web accessibility and HCI (Human Computer Interaction).

Reza Ravanmehr
He graduated as a computer engineer-hardware in 1996 from Shahid Beheshti University in Iran. After that he gained the master in 1999 from Azad University, Science and Research campus and also his PHD in computer-engineering in 2005. His main research interests are distributed/parallel systems and data mining. He is the faculty member of computer engineering department in Azad university, Tehran Central Branch from 2001.


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