research-article

[COMSCAN]: an optical music recognition system

Authors:

Muhammad Sharif,

Quratul-Ain Arshad,

Mudassar Raza,

Wazir Zada KhanAuthors Info & Claims

FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology

Article No.: 34, Pages 1 - 4

https://doi.org/10.1145/1838002.1838040

Published: 16 December 2009 Publication History

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Abstract

This paper presents the concept of optical music recognition (OMR), called "COMSCAN" which takes an electronically printed sheet of musical notes and processes it by using the four basic steps usually used by almost all OMR systems. The COMSCAN OMR system presented in this paper is fully based on our three proposed algorithms. First algorithm is for stave line detection which is a new form of horizontal projection. Second algorithm called "averaging" is for stave line removal which is done immediately after the detection. The third algorithm is used for musical notes' symbol identification/recognition step. It is an enhanced form of template matching technique. After a detailed description of the working of COMSCAN and the proposed algorithms, results are reported to analyze the efficiency and accuracy of proposed system. Finally, the comparison is done with the system that uses an algorithm of adding more stave lines instead of removing them.

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Index Terms

[COMSCAN]: an optical music recognition system
1. Applied computing
  1. Arts and humanities
    1. Performing arts
  2. Document management and text processing
    1. Document capture
      1. Optical character recognition

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Published In

FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology

December 2009

446 pages

ISBN:9781605586427

DOI:10.1145/1838002

Conference Chair:
Sajjad Ahmad Madani
COMSATS Institute of Information Technology, Pakistan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 16 December 2009

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December 16 - 18, 2009

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Music/lyrics composition system considering user's image and music genre

An Efficient Staff Removal Approach from Printed Musical Documents

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