AN OPTICAL MUSIC RECOGNITION SYSTEM FOR SKEW OR INVERTED MUSICAL SCORES

Author:

CHEN YUNG-SHENG1,CHEN FENG-SHENG1,TENG CHIN-HUNG2

Affiliation:

1. Department of Electrical Engineering, Yuan Ze University, Taiwan, R.O.C.

2. Department of Information Communication, Yuan Ze University, Taiwan, R.O.C.

Abstract

Optical Music Recognition (OMR) is a technique for converting printed musical documents into computer readable formats. In this paper, we present a simple OMR system that can perform well for ordinary musical documents such as ballad and pop music. This system is constructed based on fundamental image processing and pattern recognition techniques, thus it is easy to implement. Moreover, this system has a strong capability in skew restoration and inverted musical score detection. From a series of experiments, the error for our skew restoration is below 0.2° for any possible document rotation and the accuracy of inverted musical score detection is up to 98.89%. The overall recognition accuracy of our OMR can achieve to nearly 97%, a figure comparable with current commercial OMR software. However, if taking into image skew into consideration, our system is superior to commercial software in terms of recognition accuracy.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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2. Towards Self-Learning Optical Music Recognition;2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA);2017-12

3. Avoiding staff removal stage in optical music recognition: application to scores written in white mensural notation;Pattern Analysis and Applications;2014-09-21

4. ERRATUM: "AN OPTICAL MUSIC RECOGNITION SYSTEM FOR SKEW OR INVERTED MUSICAL SCORES";International Journal of Pattern Recognition and Artificial Intelligence;2014-03

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