Writer identification in old music manuscripts using Contour-Hinge feature and dimensionality reduction with an autoencoder

Masahiro Niitsuma, Lambert Schomaker, Jean Paul Van Oosten, Yo Tomita

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Although most of the previous studies in writer identification in music scores assumed successful prior staff-line removal, this assumption does not hold when the music scores suffer from a certain level of degradation or deformation. The impact of staff-line removal on the result of writer identification in such documents is rather vague. In this study, we propose a novel writer identification method that requires no staff-line removal and no segmentation. Staff-line removal is virtually achieved without image processing, by dimensionality reduction with an autoencoder in Contour-Hinge feature space. The experimental result with a wide range of music manuscripts shows the proposed method can achieve favourable results without prior staff-line removal.

本文言語English
ホスト出版物のタイトルComputer Analysis of Images and Patterns - 15th International Conference, CAIP 2013, Proceedings
ページ555-562
ページ数8
PART 2
DOI
出版ステータスPublished - 2013
外部発表はい
イベント15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013 - York, United Kingdom
継続期間: 2013 8 272013 8 29

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
8048 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013
国/地域United Kingdom
CityYork
Period13/8/2713/8/29

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「Writer identification in old music manuscripts using Contour-Hinge feature and dimensionality reduction with an autoencoder」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル