Open AccessComparison of preprocessing techniques for coin recognition using image processing methods
Author(s) -
T Hemapriya,
K. S. Archana,
T Anupriya
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.21.12405
Subject(s) - rupee , artificial intelligence , grayscale , median filter , computer science , computer vision , preprocessor , noise (video) , image (mathematics) , image processing , filter (signal processing) , image texture , pattern recognition (psychology) , mathematics , business , finance , exchange rate
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.