Mathematical methods of pattern recognition of written and unwritten characters using the similarity measure evaluation

Abstract

The paper presents the ways of recognizing written signs when the nature of the source is unclear and the seemingly obvious possibilities of the solution turn out to be unsuccessful. The paper deals with methods of recognizing binary images to compare them and highlight the best ones. The images of documents are obtained with the help of a camera. The quality is low. The images of the collection were segmented and passed binarization. A control sample was selected to test the recognition methods from the resulting collection. The paper describes the method of comparing images, their advantages, and disadvantages when recognizing handwritten shorthand characters. The results obtained by comparing the characters of the control sample allowed determining the best method - "method of comparison of forms".