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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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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Abstract 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.
AbstractList 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.
Author Sanchez-Yanez, R.E.
Mota-Gutierrez, S.A.
Ayala-Ramirez, V.
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  fullname: Sanchez-Yanez, R.E.
  organization: DICIS, Univ. de Guanajuato, Guanajuato, Mexico
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Snippet In this paper an approach to recognize hand-drawn quadrilaterals using genetic algorithms is presented. To validate our approach, we have made several...
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SubjectTerms Application software
Genetic algorithms
Graphics
Navigation
Noise shaping
Pattern recognition
Robot kinematics
Shape
Student Chapters
Testing
Title Recognizing hand-drawn quadrilaterals using genetic algorithms
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