Paper Abstract and Keywords |
Presentation |
2015-05-15 14:00
Extraction and Classification of Musical Symbols for Handwritten Music Score Recognition Daiki Nakagawa, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura, Yasuji Miyake (Mie Univ.) SIP2015-26 IE2015-26 PRMU2015-26 MI2015-26 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Automatic recognition of handwritten music score in Optical Music Recognition (OMR) is a difficult task. There are many problems : variety of notation by writers, difference of distance between music symbols, failure of binarization, to be solved for OMR system. We propose extraction and classification techniques for music symbols aims at recognition of music symbols from offline handwritten music scores. We perform staff removal and extraction and recognition of music symbols with scanned offline handwritten music score. Our staff removal method is realized by staff line thickness and space estimated with mode of white and black vertical run-length. Recognition of music symbols step, we extract feature using chain code histogram from connected component in score without staff and classify each component into notes, rests and other music symbols using nearest neighbor. As result, error rate of 1.62% was obtained in staff removal and Recall of 96.07% and Precision of 92.45% were obtain in classification music symbols, in the evaluation experiment on the CVC-MUSCIMA database. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Optical Music Recognition / Handwritten Music Score / Chain Code Histgram / Nearest Neighbor algorithm / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 24, PRMU2015-26, pp. 139-142, May 2015. |
Paper # |
PRMU2015-26 |
Date of Issue |
2015-05-07 (SIP, IE, PRMU, MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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SIP2015-26 IE2015-26 PRMU2015-26 MI2015-26 |
Conference Information |
Committee |
PRMU MI IE SIP |
Conference Date |
2015-05-14 - 2015-05-15 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2015-05-PRMU-MI-IE-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Extraction and Classification of Musical Symbols for Handwritten Music Score Recognition |
Sub Title (in English) |
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Keyword(1) |
Optical Music Recognition |
Keyword(2) |
Handwritten Music Score |
Keyword(3) |
Chain Code Histgram |
Keyword(4) |
Nearest Neighbor algorithm |
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1st Author's Name |
Daiki Nakagawa |
1st Author's Affiliation |
Mie University (Mie Univ.) |
2nd Author's Name |
Wataru Ohyama |
2nd Author's Affiliation |
Mie University (Mie Univ.) |
3rd Author's Name |
Tetsushi Wakabayashi |
3rd Author's Affiliation |
Mie University (Mie Univ.) |
4th Author's Name |
Fumitaka Kimura |
4th Author's Affiliation |
Mie University (Mie Univ.) |
5th Author's Name |
Yasuji Miyake |
5th Author's Affiliation |
Mie University (Mie Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-05-15 14:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
SIP2015-26, IE2015-26, PRMU2015-26, MI2015-26 |
Volume (vol) |
vol.115 |
Number (no) |
no.22(SIP), no.23(IE), no.24(PRMU), no.25(MI) |
Page |
pp.139-142 |
#Pages |
4 |
Date of Issue |
2015-05-07 (SIP, IE, PRMU, MI) |
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