Optimization of Text Processing In Documents of Automated Office Work Systems

Abstract

Scientific and methodological foundations for the identification, recognition, classification of text elements based on the mechanisms of soft computing, neural networks, neuro-fuzzy networks have been developed, which improve the quality of image transmission of text elements, filtering noise components, segmentation and clustering. Algorithms for fuzzy inference and a neural network are proposed, which are used in the construction of hardware-software systems for processing texts in documents of electronic document management systems.