A Vertex Chain Code Approach for Image Recognition

 

Abdel-Badeeh M. Salem, Adel A. Sewisy, Usama A. Elyan

Faculty of Computer and Information Sciences, Assiut University, Assiut, Egypt.

 

Abstract:

Shape-of-object representation has always been an important topic in image processing and pattern recognition. This work deals with representation of shape based on a new boundary chain code, and uses this chain code to recognize the object. Chain code techniques are widely used to  represent an object because they preserve information and allow considerable data reduction. In this paper the vertex chain code (VCC) is presented, this chain code is based on E. Bribiesca for shapes composed of regular cells. Also, the paper discusses the capabilities of the VCC in recognizing objects, the results show that, the VCC recognizes images better than the classical  methods.

 

Keywords: Image processing, Pattern recognition, Computer vision, String edit distance.

 

Biography:

Adel A. Sweisy received B. Sc. In Mathematics, June 1984, Faculty of Science, Assiut University, Assiut, Egypt, M. Sc. In Mathematics, April 1990, Faculty of Science, Assiut University, Ph.D. in Computer Science, June 1997, Faculty of Science, Assiut University. His Research Interests include Artificial Intelligence, Image Processing and Computer Graphics

 

Usama A. Elyan received B. Sc. In Computer Science, June 1998, Faculty of Science, Assiut University, Assiut, Egypt and M. Sc. In Computer Science, J unary 2004, Faculty of Science, Assiut University. His research interests include Image Processing, Computer Graphics and Artificial Intelligence.

 

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