Comparison of preprocessing techniques for coin recognition using image processing methods

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.

Classification of Tropical Rain Forest East Kalimantan Using Image Processing and Backpropagation Neural Network Algorithm

“…• ; (c) Aspect ratio : is the ratio obtained from the physiological length division by physiological width by the formula ; (d) Parameter ratio of diameter : is the result of the calculation of the ratio of Leaf perimeter area to longest diameter, and can be formulated with ; (e) Form factor : is the approach taken to determine the difference between a round shape and a leaf shape, to get its value can be done by calculation 4 2 , where A is the leaf area and P is the perimeter area; (f) Narrow factor :is the ratio between area diameter and physiological length, with the following formulation ; (g) Parameter ratio of physiological length and physiological width : is a feature obtained by calculating the ratio between , where A v1 is the leaf area of the vein image with radius 1, A v2 is the leaf area of the venous image with radius 2, A v3 is the leaf area of the vein image with radius 3, and A v4 is the same leaf area of the vein image with radius 4.…”

“…This research tries to approach by using image processing to extract information from leaf image of every plant then for classification of plants is done by using Backpropagation Neural Network algorithm. Image processing will process the image of the leaves of each plant that brings its own characteristics of each plant [1], [2]. This is because the leaves are one part that is quite unique and the shooting does not require special equipment, because naturally the leaves can be taken its image in 2 dimensional form without removing the uniqueness brought from the plant.…”