Staff Detection with Stable Paths

• Type: Article in International Scientific Journal
• Date: 2009

Authors

Jaime dos Santos Cardoso (Author) FEUP; Artur Capela (Author) Other; Ana Rebelo (Author) Other; Carlos Guedes (Author) FEUP; Joaquim Pinto da Costa (Author) FCUP

Journal

Title: IEEE Transactions on Pattern Analysis and Machine Intelligence

Vol. 31 No. 6

Pages: 1134-1139

ISSN: 0162-8828

Publisher: IEEE

Indexing

ISI Web of Knowledge - 57 Citations

ISI Web of Science

Scopus - 88 Citations

INSPEC

COMPENDEX

Scientific classification

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

CORDIS: Technological sciences > Technology > Computer technology > Image processing ; Humanities > Arts > Performing arts > Music

Other information

Authenticus ID: P-003-JM6

DOI: 10.1109/tpami.2009.34

Abstract (EN): The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. 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: 6