Computerized recognition of fundamental electrical circuits (FES) railway automation and remote control (RARC) is an urgent and diffi cult task. The decision can be reasonably divided into the decision of the individual subtasks. Thus, the general recognition algorithm is divided into several specialized algorithms and the decision becomes more simple and straightforward. The main subtasks are selection and recognition of the FES structure, of the text, of the stamp and of other information. The article describes an approach for text processing on the FES RARC.Text information of the FES is extremely important and without its analysis it is impossible to provide a complete transmission of the data of scanned FES RARC image into electronic form. The article proposes an algorithm for selection of text information of FES, using the clustering algorithm to select groups of symbols, as well as method of preparation of unique separated expressions (lexical units) within the group.The article also describes the problem of analysis of obtained versions of text expressions and methods of selecting the most correct options. At the end of the article there is a general flow chart of the FES processing method, taking into ac-count the methods of analysis of textual information proposed in the article.Description of the study ends with the development of a software prototype, that implements the methods, mentioned in the article, and its using on a test sample of 300 printed and then scanned FES of varied quality. The paper also provides the conclusions.
technical documentation, image recognition, text recognition, elementary electric diagrams
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