Comparison of preprocessing techniques for coin recognition using image processing methods

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Coin is very important role in human’s day life. For daily routine like shop, super market, banks etc the coins to be used. The coin is important part of economies and currency and it is used to pay for goods and also for our needs. Here the Indian coin has many number of count five rupee, ten rupee, two rupee, from this any one of the coin we are going to extract the texture feature for our Indian coin, first step is to preprocess the image is that method to enhance the image and remove the noise from enhanced image. For extracting clear information the image has to be preprocessed through some of the filtering techniques such as image size has to be resized, changing the contrast of the image, changing RGB to grayscale conversion for further operation such as segmentation and classification. At last the values to be compared by using PSNR, SNR, MSE of Filter noise removal with respective coin images.

     

     


  • Keywords


    Image preprocessing, filtering, gaussian filter, mean filter, median filter, wienner filter.

  • References


      [1] Bawa S & Modi S, “India Automated Coin Recognition System using ANN”, International Journal of Computer Applications, Vol.26, No.4, (2011).

      [2] Hassoubah RS, Aljebry AF & Elrefaei LA, “Saudi Riyal Coin Detection and Recognition”, IEEE Second International Conference On Image Information Processing, (2013).

      [3] Velu CM, Vivekanadan P & Kashwan K, “Indian Coin Recognition and Sum Counting System of Image DataMining Using Artificial Neural Networks”, International Journal of Advanced Science and Technology, Vol.31, (2011).

      [4] Unnikrishnan G & Sajith sethu P, “Automatic Coin Recognition Using Local”, International Journal of Computer Applications, (2006).

      [5] Malik S, Bajaj P & Kaur M, “Sample Coin Recognition System using Artificial Neural Network on Static Image Dataset”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.4, No.1, (2014).

      [6] Velu CM, “Indian Coin Recognition System of Image Segmentation by Heuristic Approach and Hough Transform (HT)”, Int. J. Open Problems Compt. Math., Vol.2, No.2, (2009).

      [7] Shelgikar N, “Indian Coin Recognition with Rotation Invariance using Radial Blur Technique”, IEEE Second International Conference On Image Information Processing, (2014).

      [8] Reisert M, Ronneberger O & Burkhardt H, “An efficient gradient based registration technique for coin recognition”, Proc. of the MUSCLE CIS Coin Competition Workshop, (2006).

      [9] Quraishi MI, Das G, Dhal KG & Das P, “Classification of Ancient Coin using Artificial Neural Network”, International Journal of Computer Applications, (2013).

      [10] Malik S, Bajaj P & Kaur M, “Coin Recognition System using Artificial Neural Network on Static Image Dataset-A Review”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, (2013).


 

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Article ID: 12405
 
DOI: 10.14419/ijet.v7i2.21.12405




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