کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532225 869923 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Writer identification in handwritten musical scores with bags of notes
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Writer identification in handwritten musical scores with bags of notes
چکیده انگلیسی

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.


► We present a new representation for musical scores aimed at writer identification.
► The Bag of Notes is based on the Bag of Words framework.
► Results are 20 points above the state-of-the-art on a challenging dataset.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 46, Issue 5, May 2013, Pages 1337–1345
نویسندگان
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