CFP last date
20 December 2024
Reseach Article

An Efficient Way to Detect and Recognize the Overlapped Coins using Otsu’s Algorithm based on Hough Transform Technique

by Deepika Mehta, Anil Sagar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 9
Year of Publication: 2013
Authors: Deepika Mehta, Anil Sagar
10.5120/12770-9804

Deepika Mehta, Anil Sagar . An Efficient Way to Detect and Recognize the Overlapped Coins using Otsu’s Algorithm based on Hough Transform Technique. International Journal of Computer Applications. 73, 9 ( July 2013), 18-21. DOI=10.5120/12770-9804

@article{ 10.5120/12770-9804,
author = { Deepika Mehta, Anil Sagar },
title = { An Efficient Way to Detect and Recognize the Overlapped Coins using Otsu’s Algorithm based on Hough Transform Technique },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 9 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number9/12770-9804/ },
doi = { 10.5120/12770-9804 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:38.479986+05:30
%A Deepika Mehta
%A Anil Sagar
%T An Efficient Way to Detect and Recognize the Overlapped Coins using Otsu’s Algorithm based on Hough Transform Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 9
%P 18-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The competency to detect and to recognize the different denomination of coins is an essential expertise in the human beings life. This paper represents different algorithms for the detection and the recognition of coins which are highly overlapped. The proposed system includes three principal steps detection, extraction and recognition. This system is efficient in detecting and recognizing the coins from both the sides. The system uses Otsu's algorithm for segmentation process, for detecting overlapping uses hough transform and recognizing the coin uses radius thresholding.

References
  1. Jain, N. , and Jain, N. 2012 Coin Recognition Using Circular Hough Transform, International Journal of Electronics Communication and Computer Technology, Vol 2, Issue 3, 2249-7838.
  2. Liangwongsan S. , Marungsri B. , Oonsivilai R. and Oonsivilai A. 2011 Extracted Circle Hough Transform and Circle Defect Detection Algorithm, World Academy of Science, Engineering and Technology.
  3. Reisert M. , Ronneberger O. and Burkhardt H. A Fast and Reliable Coin Recognition System. University of Freiburg, Computer Science Department, 79110 Freiburg i. Br. , Germany.
  4. Pendse M. and Wang Y. Automated Coin Detection on Android Phone.
  5. Bawa S. , and Modi S. 2011 Automated Coin Recognition System using ANN, International Journal of Computer Applications, Vol 26, Issue 4, 0975-8887.
  6. Rizon M. , Yazid H. , Saad P. , Shakaff A. Y. M. , Saad A. R. , Sugisaka M. , Yaacob S. , Mamat M. R. , and Karthigayan M 2005 Object Detection Using Circular Hough Transform, American Journal of Applied Sciences 2 (12):1606-1609, ISSN 1546-9239.
  7. Velu C. M. and Vivekanandan P. 2009 Indian Coin Recognition System of Image Segmentation by Heuristic Approach and Hough Transform, International Journal Open Problems Compt. . Math. , Vol 2, Issue 2.
  8. Nolle M. , Penz H. , Rubik M. , Mayer K. , Hollander I. , and Grance R. 2003 Dagobert – A New Coin Recognition and Sorting System, proceeding in VIIth Digital Image Computing:Techniques and Applications, Sydney.
  9. Xiao Z. and Weij P. 2006 Detection of Circle based on Hough Transform, Transducer and Micro System Technologies, Vol 8 pp: 25-34.
  10. Bremananth R. , Balaji B. , Sankari M. and Chitra A. 2005 A New Approach to Coin Recognition using Neural Pattern Analysis, proceedings of IEEE Indicon conference, pages 366-370.
  11. Tresanchez M. , Palleja T. , Teixido M. and Palacin J. 2009 Using the Optical Mouse Sensor as a Two-Euro Counterfeit Coin Detector, Sensors, 7083-7096.
  12. McNeill S. , Schipper J. , Sellers T. and Nechyba M. C. Coin Recognition using Vector Quantization and Histogram Modelling. Machine Intelligence Laboratory, University of Florida at Gainesville, FL 32611.
Index Terms

Computer Science
Information Sciences

Keywords

Otsu's Algorithm Hough Transform Coin Detection Coin Recognition