Recognizing hand-drawn quadrilaterals using genetic algorithms

In this paper an approach to recognize hand-drawn quadrilaterals using genetic algorithms is presented. To validate our approach, we have made several experiments recognizing quadrilaterals from a set of users, which were asked to draw quadrilaterals and other shapes using a Graphics Tablet. A Graph...

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Bibliographic Details
Published in2009 III Conference of University of Guanajuato IEEE Students Chapter (IEEExPO) pp. 20 - 23
Main Authors Mota-Gutierrez, S.A., Ayala-Ramirez, V., Sanchez-Yanez, R.E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Application software
Genetic algorithms
Graphics
Navigation
Noise shaping
Pattern recognition
Robot kinematics
Shape
Student Chapters
Testing
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Summary:In this paper an approach to recognize hand-drawn quadrilaterals using genetic algorithms is presented. To validate our approach, we have made several experiments recognizing quadrilaterals from a set of users, which were asked to draw quadrilaterals and other shapes using a Graphics Tablet. A Graphics Tablet was used in order to allow users to draw in a natural way. Our approach has shown to be robust to noise and distortion, being capable of recognizing quadrilaterals even when they are subject to a high degree of distortion. Qualitative tests are presented to show the usefulness of our approach.
ISBN:1424460271
9781424460274
DOI:10.1109/IEEEXPO.2009.5422870