Investigation of Machine Learning Algorithms for Pattern Recognition in Image Processing

In order to recognize patterns in images, this study tests the performance of many “machine learning algorithms” and feature extraction methods. Here, synthetic photographs of handwritten digits are used to compare the performance of four machine learning methods (“deep learning, support vector machines, decision trees, and random forests”) and two feature extraction strategies (raw pixel values a…