A combination of features for symbol-independent writer identification in old music scores

Fornes, A.; Llados, J.; Sanchez, G.; Otazu, X.; Bunke, Horst (2010). A combination of features for symbol-independent writer identification in old music scores. International journal on document analysis and recognition, 13(4), pp. 243-259. Berlin: Springer 10.1007/s10032-010-0123-7

Preview

Text s10032-010-0123-7.pdf - Published Version Available under License Publisher holds Copyright. Download (1MB) | Preview

The aim of writer identification is determining the writer of a piece of handwriting from a set of writers. In this paper, we present an architecture for writer identification in old handwritten music scores. Even though an important amount of music compositions contain handwritten text, the aim of our work is to use only music notation to determine the author. The main contribution is therefore the use of features extracted from graphical alphabets. Our proposal consists in combining the identification results of two different approaches, based on line and textural features. The steps of the ensemble architecture are the following. First of all, the music sheet is preprocessed for removing the staff lines. Then, music lines and texture images are generated for computing line features and textural features. Finally, the classification results are combined for identifying the writer. The proposed method has been tested on a database of old music scores from the seventeenth to nineteenth centuries, achieving a recognition rate of about 92% with 20 writers.

Interest & Impact

Downloads

36 since deposited on 04 Oct 2013
19 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item