Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Optical Music Recognition for Scores Written in White Mensural Notation | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 843401 23 pages doi 2009 843401 Research Article Optical Music Recognition for Scores Written in White Mensural Notation Lorenzo J. Tardon Simone Sammartino Isabel Barbancho Veronica Gomez and Antonio Oliver Departamento delngenieria de Comunicaciones . Ingenieria de Telecomunicación Universidad de Malaga Campus Universitario de Teatinos s n 29071 Malaga Spain Correspondence should be addressed to Lorenzo J. Tardon lorenzo@ Received 30 January 2009 Revised 1 July 2009 Accepted 18 November 2009 Recommended by Anna Tonazzini An Optical Music Recognition OMR system especially adapted for handwritten musical scores of the XVII-th and the early XVIII-th centuries written in white mensural notation is presented. The system performs a complete sequence of analysis stages the input is the RGB image of the score to be analyzed and after a preprocessing that returns a black and white image with corrected rotation the staves are processed to return a score without staff lines then a music symbol processing stage isolates the music symbols contained in the score and finally the classification process starts to obtain the transcription in a suitable electronic format so that it can be stored or played. This work will help to preserve our cultural heritage keeping the musical information of the scores in a digital format that also gives the possibility to perform and distribute the original music contained in those scores. Copyright 2009 Lorenzo J. Tardon et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Optical Music Recognition OMR aims to provide a computer with the necessary processing capabilities to convert a scanned score into an electronic format and even recognize and .