A Novel Approach to HTML Page Creation Using Neural Network

A web page is a digital document created using Hyper Text Markup Language (HTML). A Web page is suitable for World Wide Web (WWW), which runs on a web browser and hence can be accessed across the globe. Graphical User Interface (GUI) is an interface, which provides ways for humans to interact with the system using HTML controls. In software design, look and feel of GUI comprises design aspects of the web page, the layout of the web page, HTML controls used on the web page, etc. Usually creation of a web page begins by drawing GUI design on a paper first. Web designers then design the web pages using web development tool on the paper. This paper proposes a novel approach to create HTML page automatically from the GUI design drawn on the paper. It considers a GUI design having various HTML controls such as radio button, checkbox, textbox, command button and label. A scanned image of GUI design is provided as an input to the system. Then, system segments the various HTML controls. The segmented HTML controls are then identified. Identified HTML controls are stored in XML database. Actually, XML database contains the name and position of the component on the GUI design. Finally, this XML file is parsed to generate HTML page.