Document Localization and Classification As Stages of a Document Recognition System

The article is devoted to approaches and methods for analyzing document images, which were developed and used by scientists of the scientific school of V.L. Arlazarov to solve problems of the type definition and localization of documents with a known structure. It describes the principles for building solutions that have emerged as input data have become more complex and performance requirements have stricted. The methods presented in the article demonstrate the scientific path of the school from working with scanned images to photographs and video stream frames, from the most general classes of documents tied to text structure to the strictest ones based on their visual features.