PT Unknown
AU Alicia Fornes
   Josep Llados
   Gemma Sanchez
   Horst Bunke
TI On the use of textural features for writer identification in old handwritten music scores
BT 10th International Conference on Document Analysis and Recognition
PY 2009
BP 996
EP 1000
DI 10.1109/ICDAR.2009.100
AB Writer identification consists in determining the writer of a piece of handwriting from a set of writers. In this paper we present a system for writer identification in old handwritten music scores which uses only music notation to determine the author. The steps of the proposed system are the following. First of all, the music sheet is preprocessed for obtaining a music score without the staff lines. Afterwards, four different methods for generating texture images from music symbols are applied. Every approach uses a different spatial variation when combining the music symbols to generate the textures. Finally, Gabor filters and Grey-scale Co-ocurrence matrices are used to obtain the features. The classification is performed using a k-NN classifier based on Euclidean distance. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving encouraging identification rates.
ER