Методи нейромережевого розпізнавання тексту на зображеннях

Abstract

The given work discusses the technology of creating character recognition (using neural networks) systems on the image. These days, there are many approaches to solving this problem, and most of them are ineffective for images whose symbols are located on a complex background and are vulnerable to noise, affine and projection distortions. In this regard, the development of character recognition systems with a high load, which are focused on the recognition of short texts that do not have strict standards. Present-day methods for recognizing text characters make it possible to solve a number of scientific as well as applied tasks, such as document recovery, publishing text on a web page, digitizing books, automating business accounting systems, determining a bankcard number.