A Neural-Network-based Method for the Recognition of Node Heads from Printed Music Scores

Mu Chun Su, Jen Shiun Chiang, Hsin Hua Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Since note heads and stems are the most ubiquitous in a score the recognition of them plays an important role in automatic computer recognition of printed music. In this paper we propose an efficient method based on associative memories to recognize note heads (except the whole notes). We obtained correct recognition rates of 91%.

Original languageEnglish
Title of host publicationProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 1
EditorsP.P. Wang, P.P. Wang
Pages575-578
Number of pages4
Edition1
StatePublished - 2000
EventProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 - Atlantic City, NJ, United States
Duration: 27 Feb 20003 Mar 2000

Publication series

NameProceedings of the Joint Conference on Information Sciences
Number1
Volume5

Conference

ConferenceProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000
Country/TerritoryUnited States
CityAtlantic City, NJ
Period27/02/003/03/00

Keywords

  • Associative memory
  • Neural networks
  • Optical music recognition

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