Music Score Binarization Based on Domain Knowledge

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Telmo Pinto (Author) Other; Ana Rebelo (Author) Other; Gilson Giraldi (Author) Other; Jaime S Cardoso (Author) FEUP

Conference proceedings International

Title: PATTERN RECOGNITION AND IMAGE ANALYSIS: 5TH IBERIAN CONFERENCE, IBPRIA 2011

Pages: 700-708

5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Las Palmas, SPAIN, JUN 08-10, 2011

Indexing

ISI Web of Knowledge - 12 Citations

Scopus - 20 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-002-WW5

DOI: 10.1007/978-3-642-21257-4_87

Abstract (EN): Image binarization is a common operation in the preprocessing stage in most Optical Music Recognition (OMR) systems. The choice of an appropriate binarization method for handwritten music scores is a difficult problem. Several works have already evaluated the performance of existing binarization processes in diverse applications. However, no goal-directed studies for music sheets documents were carried out. This paper presents a novel binarization method based in the content knowledge of the image. The method only needs the estimation of the staffline thickness and the vertical distance between two stafflines. This information is extracted directly from the gray level music score. The proposed binarization procedure is experimentally compared with several state of the art methods.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9