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 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.
Highlights
As computers become an integral part of our lives, it becomes increasingly important to make working with them easier and more natural
Computers should be able to understand the information encoded in diagrams drawn by and for scientists and engineers
A mechanical engineer, for example, can use a hand-sketched diagram to depict his design to another engineer
Summary
As computers become an integral part of our lives, it becomes increasingly important to make working with them easier and more natural. Previous sketch systems required users to learn a particular stylized way of drawing, and used a feature-based recognition algorithm, such as a Rubine or a GraffitiTM-type algorithm What these algorithms lose in natural interaction by requiring the sketcher to draw in a particular style, they gain in speed and accuracy. Each gesture has recognized based on a number of features of that stroke, such as the initial angle of the stroke, end angle, speed, number of crosses, etc Because of these requirements, the gesture representing the shape may look different from the shape itself. Further it is noted that : Human generated descriptions contained syntactic and conceptual errors, and that It is more natural for a user to specify a shape by drawing it than by editing text[7].
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