Coin Recognition Using Circular Hough Transform

Abstract

This paper represents algorithm for recognition of the coins of different denomination. The proposed system first uses a canny edge detection to generate an edge map, then uses CHT (Circular Hough transform) to recognize the coins and further find the radii of them. Based on the radius of the coin, the coins of different denomination are classified. The experimental result shows that the Hough transform is an effective tool for coin detection even in the presence of noise.

Authors and Affiliations

Dr. Neelu Jain| Assistant Professor, PEC University of Technology, Chandigarh. India neelujain@pec.ac.in, Neha Jain| Assistant Professor, Rayat Bahra College of Engg. & Bio- Technology for Women, Kharar, Mohali, India neha47@gmail.com

Keywords

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  • EP ID EP8282
  • DOI -
  • Views 441
  • Downloads 22

How To Cite

Dr. Neelu Jain, Neha Jain (2012). Coin Recognition Using Circular Hough Transform. International Journal of Electronics Communication and Computer Technology, 2(3), 101-104. https://europub.co.uk/articles/-A-8282