Global Constraints for Syntactic Consistency in OMR: An Ongoing Approach

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Ana Rebelo (Autor) Outra; Andre R S Marcal (Autor) FCUP; Jaime S Cardoso (Autor) FEUP

Ata de Conferência Internacional

Título: IMAGE ANALYSIS AND RECOGNITION

Páginas: 734-741

10th International Conference on Image Analysis and Recognition (ICIAR)

Pvoa do Varzim, PORTUGAL, JUN 26-28, 2013

Indexação

ISI Web of Knowledge - 1 Citação

ISI Web of Science

Scopus - 3 Citações

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia do conhecimento

Outras Informações

ID Authenticus: P-008-E95

DOI: 10.1007/978-3-642-39094-4_84

Abstract (EN): Optical Music Recognition (OMR) systems are an indispensable tool to transform the paper-based music scores and manuscripts into a machine-readable symbolic format. A system like this potentiates search, retrieval and analysis. One of the problematic stages is the musical symbols detection where operations to localize and to isolate musical objects are developed. The complexity is caused by printing and digitalization, as well as the paper degradation over time. Distortions inherent in staff lines, broken, connected and overlapping symbols, differences in sizes and shapes, noise, and zones of high density of symbols is even worst when we are dealing with handwritten music scores. In this paper the exploration of an optimization approach to support semantic and syntactic consistency after the music symbols extraction phase is proposed. The inclusion of this ongoing technique can lead to better results and encourage further experiences in the field of handwritten music scores recognition.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8