2-D Object Recognition Approach using Wavelet Transform

Abstract

Humans have supernatural ability to observe, analyze, and tell about the layout of the 3D world with the help of their natural visual system. But contrary to machine vision system, it remains a most difficult task to recognize various objects from images being captured by cameras. This paper presents 2-D image object recognition approach using Daubechies (Db10) wavelet transform. Firstly, an edge detection is carried out to delineate objects from the images. Secondly, shape moments have been used for object recognition. For testing purpose, different geometrical shapes such as rectangle, circle, triangle and pattern have been selected for image analysis. Simulation has been performed using MATLAB, and obtained results showed that it accurately identifies the objects. The research goal was to test 2-D images for object recognition.

Authors and Affiliations

Kamelsh Kumar, Riaz Ahmed Shaikh, Rafaqat Hussain Arain, Safdar Ali Shah

Keywords

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  • EP ID EP278264
  • DOI 10.14569/IJACSA.2018.090333
  • Views 97
  • Downloads 0

How To Cite

Kamelsh Kumar, Riaz Ahmed Shaikh, Rafaqat Hussain Arain, Safdar Ali Shah (2018). 2-D Object Recognition Approach using Wavelet Transform. International Journal of Advanced Computer Science & Applications, 9(3), 231-235. https://europub.co.uk/articles/-A-278264