A bag of notes approach to writer identification in old handwritten musical scores

Authors:
Albert Gordo;Alicia Fornés;Ernest Valveny;Josep Lladós
Affiliations:
Computer Vision Center, Bellatera (Barcelona), Spain;Computer Vision Center, Bellatera (Barcelona), Spain;Computer Vision Center, Bellatera (Barcelona), Spain;Computer Vision Center, Bellatera (Barcelona), Spain
Venue:
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Year:
2010

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Abstract

Determining the authorship of a document, namely writer identification, can be an important source of information for document categorization. Contrary to text documents, the identification of the writer of graphical documents is still a challenge. In this paper we present a robust approach for writer identification in a particular kind of graphical documents, old music scores. This approach adapts the bag of visual terms method for coping with graphic documents. The identification is performed only using the graphical music notation. For this purpose, we generate a graphic vocabulary without recognizing any music symbols, and consequently, avoiding the difficulties in the recognition of hand-drawn symbols in old and degraded documents. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving very high identification rates.