Image classification using local binary patterns
Sergey Vladimirovich Pronin · Journal of Optical Technology · 2020
An image-classification algorithm based on an alphabet of local binary patterns is described. The efficiency of the proposed algorithm is demonstrated using a test image set of handwritten digits (MNIST). A comparison of the algorithm’s properties with similar results to those of convolutional artificial neural networks is presented.