A shortest path approach for staff line detection

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2007

Autores

Ana Rebelo (Autor) Outra; Artur Capela (Autor) Outra; Joaquim F Pinto da Costa (Autor) FCUP; Carlos Guedes (Autor) Outra; Eurico Carrapatoso (Autor) FEUP; Jaime S Cardoso (Autor) FEUP

Ata de Conferência Internacional

Título: AXMEDIS 2007: THIRD INTERNATIONAL CONFERENCE ON AUTOMATED PRODUCTION OF CROSS MEDIA CONTENT FOR MULTI-CHANNEL DISTRIBUTION, PROCEEDINGS

Páginas: 79-85

3rd International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution

Barcelona, SPAIN, NOV 28-30, 2007

Indexação

ISI Web of Knowledge - 7 Citações

Scopus - 12 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Tecnologia > Tecnologia de computadores

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-004-CKG

DOI: 10.1109/axmedis.2007.16

Abstract (EN): Many music works produced in the past still exist only as original manuscripts or as photocopies. Preserving them entails their digitalization and consequent accessibility in a digital format easy-to-manage. The manual process to carry out this task is very time consuming and error prone. Optical music recognition (OMR) is a form of structured document image analysis where music symbols are isolated and identified so that the music can be conveniently processed. While OMR systems perform well on printed scores, current methods for reading handwritten musical scores by computers remain far from ideal. One of the fundamental stages of this process is the staff line detection. In this paper a new method for the automatic detection of music stave lines based on a shortest path approach is presented. Lines with some curvature, discontinuities, and inclination are robustly detected. The proposed algorithm behaves favourably when compared experimentally with well-established algorithms.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7