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Information × Registration Number 0212U006620, 0111U005685 , R & D reports Title Development of informational technology for automatic optical recognition of printed note text. popup.stage_title Head Azarenko Dmitriy Sergeyvich, Registration Date 30-05-2012 Organization Institute of Artificial Intelligence Problems popup.description2 The object of this study is the image of the musical text. The subject of research methods and algorithms for digital image processing. The aim of the study the creation of algorithms and methods of structuring the image of a score on elements of different levels of hierarchy to improve the recognition of a score. Results. Designed and implemented the software method for structural analysis of images of a score that allows you to create a hierarchical structure of a score whose elements are: the page of the musical text, line, group notonostsev, staff is. Using the segmentation results will improve the efficiency of recognition by obtaining information on the situation stave size of its elements, etc. The scientific novelty. The developed method uses the original hierarchical structure of a score and allows you to highlight text on the notes, even poor quality and thus improve the automatic optical character recognition of printed music format. Scope of application. The developed method and algorithm for structuring the page image of a score can be used in sheet music editors as well as the creation of an integrated workplace musicologist. Product Description popup.authors Азаренко Дмитро Сергійович Жук Олександр Вікторович Панфілов Сергій Станіславович Панфілова Марія Станіславівна popup.nrat_date 2020-04-02 Close