PT Journal
AU Albert Gordo
   Alicia Fornes
   Ernest Valveny
TI Writer identification in handwritten musical scores with bags of notes
SO Pattern Recognition
JI PR
PY 2013
BP 1337
EP 1345
VL 46
IS 5
DI 10.1016/j.patcog.2012.10.013
AB Writer Identification is an important task for the automatic processing of documents. However, the identification of the writer in graphical documents is still challenging. In this work, we adapt the Bag of Visual Words framework to the task of writer identification in handwritten musical scores. A vanilla implementation of this method already performs comparably to the state-of-the-art. Furthermore, we analyze the effect of two improvements of the representation: a Bhattacharyya embedding, which improves the results at virtually no extra cost, and a Fisher Vector representation that very significantly improves the results at the cost of a more complex and costly representation. Experimental evaluation shows results more than 20 points above the state-of-the-art in a new, challenging dataset.
ER