me120 Project Report FINAL EDITION

me120 Project Report FINAL EDITION - Coin Recognition A...

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Coin Recognition A report on a project performed for ME 120 Experimental Methods Laboratory San Jose State University Department of Mechanical and Aerospace Engineering Report by: Mathew Gard, Aung Han,
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Aung Hein, Jovana Samaniego Report Date: 12/1/09
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Abstract Our group developed a program using the LabView Vision software to recognize the patterns of different coins. It can then recognize pennies, nickels, dimes, and quarters from one another. Templates were created for each coin, then, pictures of the coins were taken separately and also as a group. These images were stored in the computer and a path-file was created on the Virtual Instrument (VI) to retrieve them. The user can select which coin to look for among group images by selecting the coin template. The VI performs pattern matching between the selected coin template and the group image. The software was successful in matching each individual coin in a group picture that had all the coins. Pictures of the VI distinguishing each coin are shown in the appendices. Background and Objectives The objectives of this project are to study the LabView Vision program and learn how to write a pattern recognition program. The National Instruments Vision software allows the user to develop a program that can recognize and match a pattern in an image using different shapes and sizes. In order to successfully match a pattern, the program needs a template of the pattern to match with an imputed image. A template is created by inputting an image into the Vision software and identifying distinguishing features. This process can be repeated for each pattern the programmer wishes to include in the program. This library of templates will then be used by the program to compare any images the user wishes and identify the image. The machine vision application can identify an object within the image containing many different objects. In addition, the
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program can calculate how closely the image resembles the template. The machine vision application can match patterns even with the occurrence of lighting variation, blur, noise, shifting, rotation, or scaling of the template. This is done by using invariant
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me120 Project Report FINAL EDITION - Coin Recognition A...

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