Hye-Won Kang, Hyungwoo Park, Jong-Bae Kim

In the information age, modern people are getting most of their information through the Internet. As a result, the acquisition of information became faster and easier. However, these advances in modern technology further widen the digital divide with the vulnerable, such as the disabled and the elderly. While various agencies and organizations are working hard to solve these problems, they are still vulnerable in their response to the color vision. Therefore, this paper proposes web accessibility tools that are implemented directly in web browsers without the need to install a separate program to improve the acquisition of information for people with color vision. Prior to designing the above tools, research was conducted on Web programming languages for web accessibility, color vision defectives, RGB color model, and tool design. During the design phase, the HTML document of the web page was put into the canvas using JavaScript Plugin ‘html 2 canvas’, and RGBA image data contained in the canvas was modified by using JavaScript and HTML5. JavaScript and JavaScript Library 'jQuery', HTML5, and CSS were then used to print a tool tip out calibrated image of the corresponding area according to the mouse cursor on the web page.

Volume 11 | 05-Special Issue

Pages: 290-298