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DOI: 10.14569/SpecialIssue.2011.010101
PDF

Sketch Recognition using Domain Classification

Author 1: Vasudha Vashisht
Author 2: Tanupriya Choudhury
Author 3: Dr. T. V. Prasad

International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011.

  • Abstract and Keywords
  • How to Cite this Article
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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.

Vasudha Vashisht, Tanupriya Choudhury and Dr. T. V. Prasad, “Sketch Recognition using Domain Classification” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010101

@article{Vashisht2011,
title = {Sketch Recognition using Domain Classification},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis}
doi = {10.14569/SpecialIssue.2011.010101},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010101},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {Vasudha Vashisht and Tanupriya Choudhury and Dr. T. V. Prasad},
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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