Automated Recognition of Numeric Display Based on Deep Learning
Bohdan Rusyn, Oleksiy Lutsyk, Rostyslav Kosarevych, Yarema Varetsky · 2019
This paper proposes approach to the automatic recognition of digits from the displays of medical devices such as blood pressure meters, glucometers, analyzers of harmful substances content. A fully connected, convolutional model of deep learning with the use of tensor flow and keras deep learning libraries has been developed. A database was created for training and validation of the proposed network, which contains 4500 images. The evaluation of the proposed recognition system for a large number of images has been carried out. The optimization of the model for practical use with CPU and GPU is carried out and the average performance time is shown.