DEEP LEARNING DOCUMENT IMAGE CLASSIFICATION METHOD

Authors

  • Aigerim Baimakhanova Master of Computer Science, Doctoral student of Computer Engineering, Khoja Akhmet Yassawi International Kazakh-Turkish University, Republic of Kazakhstan
  • Kamalbek Berkimbayev Doctor of Pedagogical Sciences, Professor, Khoja Akhmet Yassawi International Kazakh-Turkish University, Republic of Kazakhstan
  • Eşref Adalı PhD, professor, Istanbul Technical University, Republic of Turkey
  • Zhumadillayeva Ainur Candidate of Technical Sciences, associate professor, L.N Gumilyov Eurasian National University, Republic of Kazakhstan

Keywords:

deep learning, CNN, Convo layer, AlexNet, video recognition

Abstract

A method for automatic identification and classification of document images using a CNN model based on deep learning is considered. On the basis of deep learning, a scientific analysis of image recognition problems is carried out. A method for calculating the convolutional layer is proposed. The step-by-step steps of the CNN method for classifying processes in a document image during video recognition are shown.

Published

2022-12-04

How to Cite

Aigerim Baimakhanova, Kamalbek Berkimbayev, Eşref Adalı, & Zhumadillayeva Ainur. (2022). DEEP LEARNING DOCUMENT IMAGE CLASSIFICATION METHOD. Foundations and Trends in Research, (1). Retrieved from https://ojs.scipub.de/index.php/FTR/article/view/457

Issue

No. 1 (2022): Foundations and Trends in Research

Section

Technical Sciences