NDLI: Sketch Recognition using Domain Classification

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Sketch Recognition using Domain Classification

Content Provider	CiteSeerX
Author	Vashisht, Vasudha Choudhury, Tanupriya Prasad, T. V.
Abstract	Abstract — Conceptualizing away the sketch processing details in a user interface will enable general users and domain experts to create more complex sketches. There are many domains for which sketch recognition systems are being developed. But, they entail image-processing skill if they are to handle the details of each domain, and also they are lengthy to build. The implemented system’s goal is to enable user interface designers and domain experts who may not have proficiency in sketch recognition to be able to construct these sketch systems. This sketch recognition system takes in rough sketches from user drawn with the help of mouse as its input. It then recognizes the sketch using segmentation and domain classification; the properties of the user drawn sketch and segments are searched heuristically in the domains and each figures of each domain, and finally it shows its domain, the figure name and properties. It also draws the sketch smoothly. The work is resulted through extensive research and study of many existing image processing and pattern matching algorithms. Keywords- Sketch recognition; segmentation; domain classification. I.
File Format	PDF
Access Restriction	Open
Subject Keyword	Sketch Recognition Domain Classification Sketch Recognition System Domain Expert Many Domain Image-processing Skill General User User Interface Designer Implemented System Goal Rough Sketch Figure Name Extensive Research User Interface Complex Sketch Abstract Conceptualizing Sketch System User Drawn Sketch Processing Detail User Drawn Sketch Keywords Sketch Recognition Image Processing
Content Type	Text

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