Developing Euro to Thai Currency Conversion Using Image Processing

Abstract

     This study develops an image processing program to convert euros from photographs. Intended for study and development of programs to measure efficiency, accuracy and assess the satisfaction of program users. The target group is 20 students and staff interested in converting the euro currency. The equipment used is 1) a euro image processor 2) the euro 3) a mobile phone to take pictures 4) an assessment model. Satisfaction of the testers of the program

      The research results were found that Banknote detection is based on a neural network learning method. The prototype data of the euro banknote was learned from photographs and tested with the photo-taken euro banknotes 75.8% accuracy and used a classification method of the euro coin by dividing it by diameter by measuring the photograph to be 91.2% correct and assessing the satisfaction of the target audience of the image processing program by converting the euro from the photo. The evaluation results are at the overall evaluation is at a good level, with the average being 3.1 - 4.2, standard deviation is 0.57 - 0.73