A CONNECTED PATH APPROACH FOR STAFF DETECTION ON A MUSIC SCORE

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Jaime S Cardoso (Author) FEUP; Artur Capela (Author) Other; Ana Rebelo (Author) Other; Carlos Guedes (Author) Other

Conference proceedings International

Title: 2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5

Pages: 1005-1008

15th IEEE International Conference on Image Processing (ICIP 2008)

San Diego, CA, OCT 12-15, 2008

Indexing

ISI Web of Knowledge - 12 Citations

Scopus - 18 Citations

Scientific classification

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

Other information

Authenticus ID: P-004-54Y

DOI: 10.1109/icip.2008.4711927

Abstract (EN): The preservation of many music works produced in the past entails their digitalization and consequent accessibility in an easy-to-manage digital format. Carrying this task manually is very time consuming and error prone. While optical music recognition systems usually perform well on printed scores, the processing of handwritten musical scores by computers remain far from ideal. One of the fundamental stages to carry out this task is the staff line detection. In this paper a new method for the automatic detection of music staff lines based on a connected path approach is presented. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4