Number Pattern Recognition of C1 Sheet by Convolutional Neural Network (CNN) Method

This study aims to develop a feature extraction model for number patterns on sheet C1 using the Convolutional Neural Network (CNN) method and improve the results of the Convolutional Neural Network (CNN) method for recognizing number patterns on sheet C1 in evaluating the impact of images. In this study, the author discusses the General Election using the new C1 sheet format by creating training data and testing data of 536 data to be tested using the Convolutional Neural Network (CNN) method by classifying data categories for the new C1 sheet format from the experimental results. It can be seen that the image processed using the Convolutional Neural Network (CNN) method gives the best results with an accuracy level of 96.38%.