Prerau, D.,
Computer Pattern Recognition of Standard Engraved Music Notation,
Ph.D.Thesis, EE, MIT, 1970.
BibRef
7000
Bainbridge, D.,
Extensible Optical Music Recognition,
Ph.D.Thesis, CS, University of Cantebury, New Zealand, 1997.
BibRef
9700
Roach, J.W.,
Tatem, J.E.,
Using Domain Knowledge in Low-Level Visual Processing to
Interpret Handwritten Music: An Experiment,
PR(21), No. 1, 1988, pp. 33-44.
Elsevier DOI
BibRef
8800
Blostein, D.,
Baird, H.S.,
A Critical Survey of Music Image Analysis,
SDIA92(405-434).
BibRef
9200
Modayur, B.R.,
Ramesh, V.,
Haralick, R.M.,
Shapiro, L.G.,
MUSER: A prototype musical score recognition system using mathematical
morphology,
MVA(6), No. 2-3, 1993, pp. 140-150.
BibRef
9300
Fahmy, H.,
Blostein, D.,
A graph grammar programming style for recognition of music notation,
MVA(6), No. 2-3, 1993, pp. 83-99.
BibRef
9300
Kopec, G.E.,
Chou, P.A.,
Maltz, D.A.,
Markov Source Model for Printed Music Decoding,
JEI(5), No. 1, January 1996, pp. 7-14.
BibRef
9601
Yadid-Pecht, O.,
Gerner, M.,
Dvir, L.,
Brutman, E.,
Shimony, U.,
Recognition of Handwritten Musical Notes by a Modified Neocognitron,
MVA(9), No. 2, 1996, pp. 65-72.
Springer DOI
9609
Neural Nets. Overall rates of around 80%.
BibRef
Ng, K.C.,
Boyle, R.D.,
Recognition and Reconstruction of Primitives in Music Scores,
IVC(14), No. 1, February 1996, pp. 39-46.
Elsevier DOI
9608
BibRef
Earlier:
Segmentation of Music Primitives,
BMVC92(xx-yy).
PDF File.
9209
BibRef
Blostein, D.[Dorothea],
Haken, L.[Lippold],
Using Diagram Generation Software to Improve Diagram Recognition:
A Case Study of Music Notation,
PAMI(21), No. 11, November 1999, pp. 1121-1136.
IEEE DOI
9912
BibRef
Gezerlis, V.G.[Velissarios G.],
Theodoridis, S.[Sergios],
Optical character recognition of the Orthodox Hellenic Byzantine Music
notation,
PR(35), No. 4, April 2002, pp. 895-914.
Elsevier DOI
0201
BibRef
Earlier:
An Optical Music Recognition System for the Notation of the Orthodox
Hellenic Byzantine Music,
ICPR00(Vol IV: 837-840).
IEEE DOI
0009
BibRef
Rossant, F.[Florence],
A global method for music symbol recognition in typeset music sheets,
PRL(23), No. 10, August 2002, pp. 1129-1141.
Elsevier DOI
0205
BibRef
Pinto, J.R.C.[João R. Caldas],
Vieira, P.[Pedro],
Sousa, J.M.[João M.],
A new graph-like classification method applied to ancient handwritten
musical symbols,
IJDAR(6), No. 1, 2003, pp. 10-22.
Springer DOI
0308
BibRef
Vieira, P.[Pedro],
Pinto, J.R.C.[João R. Caldas],
Recognition of Musical Symbols in Ancient Manuscripts,
ICIP01(III: 38-41).
IEEE DOI
0108
BibRef
Miyao, H.[Hidetoshi],
Maruyama, M.[Minoru],
An online handwritten music symbol recognition system,
IJDAR(9), No. 1, March 2007, pp. 49-58.
Springer DOI
0703
BibRef
Earlier:
An online handwritten music score recognition system,
ICPR04(I: 461-464).
IEEE DOI
0409
See also On-Line Handwritten flowchart Recognition, Beautification and Editing System.
BibRef
Dalitz, C.[Christoph],
Droettboom, M.[Michael],
Pranzas, B.[Bastian],
Fujinaga, I.[Ichiro],
A Comparative Study of Staff Removal Algorithms,
PAMI(30), No. 5, May 2008, pp. 753-766.
IEEE DOI
0803
Staff lines in music.
BibRef
Dalitz, C.[Christoph],
Michalakis, G.K.[Georgios K.],
Pranzas, C.[Christine],
Optical recognition of psaltic Byzantine chant notation,
IJDAR(11), No. 3, December 2008, pp. xx-yy.
Springer DOI
0804
BibRef
Dalitz, C.[Christoph],
Karsten, T.[Thomas],
Droettboom, M.[Michael],
Fujinaga, I.[Ichiro],
Pose, F.[Florian],
Czerwinski, B.[Bastian],
Staff Line Removal Toolkit for Gamera,
Online2005-2007.
WWW Link.
Code, Music Processing.
BibRef
0500
dos Santos Cardoso, J.[Jaime],
Capela, A.[Artur],
Rebelo, A.[Ana],
Guedes, C.[Carlos],
da Costa, J.P.[Joaquim Pinto],
Staff Detection with Stable Paths,
PAMI(31), No. 6, June 2009, pp. 1134-1139.
IEEE DOI
0904
BibRef
Earlier: A1, A2, A3, A4, Only:
A connected path approach for staff detection on a music score,
ICIP08(1005-1008).
IEEE DOI
0810
BibRef
Earlier: A2, A3, A1, A4, Only:
Staff Line Detection and Removal with Stable Paths,
SPMM08(263-270).
Staff lines for transcribing handwritten scores.
Lines affected by curvature, discontinuities, and inclination are
robustly detected.
Find the shortest, mostly straight, path from one side to the other.
BibRef
Rebelo, A.,
Capela, G.,
Cardoso, J.S.[Jaime S.],
Optical Recognition of Music Symbols: A Comparative Study,
IJDAR(13), No. 1, March 2010, pp. xx-yy.
Springer DOI
1003
Survey, Music Symbols.
BibRef
Tardón, L.J.[Lorenzo J.],
Sammartino, S.[Simone],
Barbancho, I.[Isabel],
Gómez, V.[Verónica],
Oliver, A.[Antonio],
Optical Music Recognition for Scores Written in White Mensural Notation,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link
1003
BibRef
Fornés, A.[Alicia],
Lladós, J.[Josep],
Sánchez, G.[Gemma],
Otazu, X.[Xavier],
Bunke, H.[Horst],
A combination of features for symbol-independent writer identification
in old music scores,
IJDAR(13), No. 4, December 2010, pp. 243-259.
WWW Link.
1101
BibRef
Fernández, D.[David],
Lladós, J.[Josep],
Fornés, A.[Alicia],
Handwritten Word Spotting in Old Manuscript Images Using a
Pseudo-structural Descriptor Organized in a Hash Structure,
IbPRIA11(628-635).
Springer DOI
1106
BibRef
Fornes, A.[Alicia],
Llados, J.[Josep],
A Symbol-Dependent Writer Identification Approach in Old Handwritten
Music Scores,
FHR10(634-639).
IEEE DOI
1011
BibRef
Fornés, A.[Alicia],
Dutta, A.[Anjan],
Gordo, A.[Albert],
Lladós, J.[Josep],
CVC-MUSCIMA: a ground truth of handwritten music score images for
writer identification and staff removal,
IJDAR(15), No. 3, September 2012, pp. 243-251.
WWW Link.
1209
BibRef
Gordo, A.[Albert],
Fornés, A.[Alicia],
Valveny, E.[Ernest],
Writer identification in handwritten musical scores with bags of notes,
PR(46), No. 5, May 2013, pp. 1337-1345.
Elsevier DOI
1302
Writer identification; Handwritten musical scores; Bag of notes
See also Word Spotting and Recognition with Embedded Attributes.
BibRef
Vo, Q.N.[Quang Nhat],
Kim, S.H.[Soo Hyung],
Yang, H.J.[Hyung Jeong],
Lee, G.S.[Guee-Sang],
An MRF model for binarization of music scores with complex background,
PRL(69), No. 1, 2016, pp. 88-95.
Elsevier DOI
1601
Music score binarization
BibRef
Calvo-Zaragoza, J.[Jorge],
Micó, L.[Luisa],
Oncina, J.[Jose],
Music staff removal with supervised pixel classification,
IJDAR(19), No. 3, September 2016, pp. 211-219.
Springer DOI
1609
BibRef
Calvo-Zaragoza, J.[Jorge],
Oncina, J.[Jose],
Clustering of Strokes from Pen-Based Music Notation:
An Experimental Study,
IbPRIA15(633-640).
Springer DOI
1506
BibRef
Earlier:
Recognition of Pen-Based Music Notation: The HOMUS Dataset,
ICPR14(3038-3043)
IEEE DOI
1412
Error analysis
BibRef
Calvo-Zaragoza, J.[Jorge],
Oncina, J.[Jose],
An efficient approach for Interactive Sequential Pattern Recognition,
PR(64), No. 1, 2017, pp. 295-304.
Elsevier DOI
1701
Interactive Pattern Recognition
BibRef
Pedersoli, F.[Fabrizio],
Tzanetakis, G.[George],
Document segmentation and classification into musical scores and text,
IJDAR(19), No. 4, December 2016, pp. 289-304.
Springer DOI
1611
BibRef
dos Santos Montagner, I.[Igor],
Hirata, N.S.T.[Nina S.T.],
Hirata, Jr., R.[Roberto],
Staff removal using image operator learning,
PR(63), No. 1, 2017, pp. 310-320.
Elsevier DOI
1612
Staff removal
BibRef
Earlier: A1, A3, A2:
A Machine Learning Based Method for Staff Removal,
ICPR14(3162-3167)
IEEE DOI
1412
BibRef
Earlier: A1, A3, A2:
Learning to remove staff lines from music score images,
ICIP14(2614-2618)
IEEE DOI
1502
Accuracy
BibRef
Oh, J.Y.[Ji-Yong],
Son, S.J.[Sung Joon],
Lee, S.[Sangkuk],
Kwon, J.W.[Ji-Won],
Kwak, N.[Nojun],
Online recognition of handwritten music symbols,
IJDAR(20), No. 2, June 2017, pp. 79-89.
Springer DOI
1706
BibRef
Calvo-Zaragoza, J.[Jorge],
Pertusa, A.[Antonio],
Oncina, J.[Jose],
Staff-line detection and removal using a convolutional neural network,
MVA(28), No. 5-6, August 2017, pp. 665-674.
WWW Link.
1708
BibRef
Niitsuma, M.,
Tomita, Y.,
Yan, W.Q.,
Bell, D.,
Towards Musicologist-Driven Mining of Handwritten Scores,
IEEE_Int_Sys(33), No. 4, July 2018, pp. 24-34.
IEEE DOI
1810
Feature extraction, Data mining, Intelligent systems,
Radio frequency, Object recognition, Support vector machines,
music information retrieval
BibRef
Baró, A.[Arnau],
Riba, P.[Pau],
Calvo-Zaragoza, J.[Jorge],
Fornés, A.[Alicia],
From Optical Music Recognition to Handwritten Music Recognition:
A baseline,
PRL(123), 2019, pp. 1-8.
Elsevier DOI
1906
Optical music recognition, Handwritten music recognition,
Document image analysis and recognition, LSTM
BibRef
Mateiu, T.N.[Tudor N.],
Gallego, A.J.[Antonio-Javier],
Calvo-Zaragoza, J.[Jorge],
Domain Adaptation for Handwritten Symbol Recognition: A Case of Study
in Old Music Manuscripts,
IbPRIA19(II:135-146).
Springer DOI
1910
BibRef
Calvo-Zaragoza, J.[Jorge],
Toselli, A.H.[Alejandro H.],
Vidal, E.[Enrique],
Handwritten Music Recognition for Mensural notation with
convolutional recurrent neural networks,
PRL(128), 2019, pp. 115-121.
Elsevier DOI
1912
Handwritten Music Recognition, Optical Music Recognition,
Mensural notation, Convolutional recurrent neural networks
BibRef
Calvo-Zaragoza, J.[Jorge],
Hajic, Jr., J.[Jan],
Pacha, A.[Alexander],
Understanding Optical Music Recognition,
Surveys(53), No. 4, July 2020, pp. xx-yy.
DOI Link
2010
Survey, Music. music notation, Optical music recognition, music scores
BibRef
Tsai, T.,
Yang, D.,
Shan, M.,
Tanprasert, T.,
Jenrungrot, T.,
Using Cell Phone Pictures of Sheet Music To Retrieve MIDI Passages,
MultMed(22), No. 12, December 2020, pp. 3115-3127.
IEEE DOI
2011
Cellular phones, Music, Runtime, Object detection, Training data,
Image segmentation, Neural networks, Sheet music, MIDI,
camera
BibRef
Alfaro-Contreras, M.[María],
Ríos-Vila, A.[Antonio],
Valero-Mas, J.J.[Jose J.],
Iñesta, J.M.[José M.],
Calvo-Zaragoza, J.[Jorge],
Decoupling music notation to improve end-to-end Optical Music
Recognition,
PRL(158), 2022, pp. 157-163.
Elsevier DOI
2205
BibRef
Earlier: A1, A5, A4, Only:
Approaching End-to-End Optical Music Recognition for Homophonic Scores,
IbPRIA19(II:147-158).
Springer DOI
1910
Optical music recognition, Deep learning,
Connectionist temporal classification, Sequence labeling
BibRef
Nuñez-Alcover, A.[Alicia],
Ponce de León, P.J.[Pedro J.],
Calvo-Zaragoza, J.[Jorge],
Glyph and Position Classification of Music Symbols in Early Music
Manuscripts,
IbPRIA19(II:159-168).
Springer DOI
1910
BibRef
Ríos-Vila, A.[Antonio],
Iñesta, J.M.[José M.],
Calvo-Zaragoza, J.[Jorge],
On the Use of Transformers for End-to-End Optical Music Recognition,
IbPRIA22(470-481).
Springer DOI
2205
BibRef
Garrido-Munoz, C.[Carlos],
Ríos-Vila, A.[Antonio],
Calvo-Zaragoza, J.[Jorge],
Retrieval of Music-Notation Primitives via Image-to-Sequence Approaches,
IbPRIA22(482-492).
Springer DOI
2205
BibRef
Konwer, A.,
Bhunia, A.K.,
Bhowmick, A.,
Bhunia, A.K.,
Banerjee, P.,
Roy, P.P.,
Pal, U.,
Staff line Removal using Generative Adversarial Networks,
ICPR18(1103-1108)
IEEE DOI
1812
Generators, Generative adversarial networks,
Training, Task analysis, Convolutional neural networks,
U-Net
BibRef
Park, N.,
Anand, A.,
Moniz, J.R.A.,
Lee, K.,
Choo, J.,
Park, D.K.,
Chakraborty, T.,
Park, H.,
Kim, Y.,
MMGAN: Manifold-Matching Generative Adversarial Networks,
ICPR18(1343-1348)
IEEE DOI
1812
Manifolds, Generative adversarial networks,
Kernel, Training, Generators, Games
BibRef
Tuggener, L.,
Elezi, I.,
Schmidhuber, J.,
Pelillo, M.,
Stadelmann, T.,
DeepScores-A Dataset for Segmentation, Detection and Classification
of Tiny Objects,
ICPR18(3704-3709)
IEEE DOI
1812
Music, Task analysis, Image segmentation,
Object detection, Semantics, Optical character recognition software
BibRef
Wang, Q.,
Xiong, Y.,
Su, F.,
Semantic Music Annotation by Label-Specific Conditional Random Fields,
ICPR18(2941-2946)
IEEE DOI
1812
Music, Semantics, Correlation, Hidden Markov models,
Feature extraction, Image segmentation
BibRef
Calvo-Zaragoza, J.,
Vigliensoni, G.,
Fujinaga, I.,
Pixelwise classification for music document analysis,
IPTA17(1-6)
IEEE DOI
1804
BibRef
Earlier:
Pixel-wise binarization of musical documents with convolutional
neural networks,
MVA17(362-365)
DOI Link
1708
document image processing, image classification,
learning (artificial intelligence), music,
Pixel classification.
Measurement, Music, Network topology, Neural networks, Text analysis,
Topology, Training
BibRef
Calvo-Zaragoza, J.[Jorge],
Vigliensoni, G.[Gabriel],
Fujinaga, I.[Ichiro],
Staff-Line Detection on Grayscale Images with Pixel Classification,
IbPRIA17(279-286).
Springer DOI
1706
BibRef
Chen, L.[Liang],
Duan, K.[Kun],
MIDI-assisted egocentric optical music recognition,
WACV16(1-9)
IEEE DOI
1606
Optical Music Recognition.
BibRef
Vo, Q.N.[Quang Nhat],
Lee, G.[Guee_Sang],
Binarization of music score images using line width transform,
FCV15(1-4)
IEEE DOI
1506
Gaussian processes
BibRef
Geraud, T.[Thierry],
A morphological method for music score staff removal,
ICIP14(2599-2603)
IEEE DOI
1502
Image analysis
BibRef
Bui, H.N.[Hoang-Nam],
Na, I.S.[In-Seop],
Lee, G.S.[Guee-Sang],
Yang, H.J.[Hyung-Jeong],
Kim, S.H.[Soo-Hyung],
Boosted Stable Path for Staff-Line Detection Using Order Statistic
Downscaling and Coarse-to-Fine Technique,
ICPR14(522-526)
IEEE DOI
1412
Androids
BibRef
Bui, H.N.[Hoang-Nam],
Na, I.S.[In-Seop],
Kim, S.H.[Soo-Hyung],
Staff Line Removal Using Line Adjacency Graph and Staff Line Skeleton
for Camera-Based Printed Music Scores,
ICPR14(2787-2789)
IEEE DOI
1412
Cameras
BibRef
Vo, Q.N.[Quang Nhat],
Nguyen, T.[Tam],
Kim, S.H.[Soo-Hyung],
Yang, H.J.[Hyung-Jeong],
Lee, G.S.[Guee-Sang],
Distorted Music Score Recognition without Staffline Removal,
ICPR14(2956-2960)
IEEE DOI
1412
Data mining
BibRef
Rebelo, A.,
Cardoso, J.S.,
Staff Line Detection and Removal in the Grayscale Domain,
ICDAR13(57-61)
IEEE DOI
1312
feature extraction
BibRef
Malik, R.,
Roy, P.P.,
Pal, U.,
Kimura, F.,
Handwritten Musical Document Retrieval Using Music-Score Spotting,
ICDAR13(832-836)
IEEE DOI
1312
document image processing
BibRef
Niitsuma, M.[Masahiro],
Schomaker, L.[Lambert],
Writer Identification in Old Music Manuscripts Using Contour-Hinge
Feature and Dimensionality Reduction with an Autoencoder,
CAIP13(II:555-562).
Springer DOI
1311
BibRef
Rebelo, A.[Ana],
Marçal, A.R.S.[André R. S.],
Cardoso, J.S.[Jaime S.],
Global Constraints for Syntactic Consistency in OMR:
An Ongoing Approach,
ICIAR13(734-741).
Springer DOI
1307
Optical Music Recognition.
BibRef
Timofte, R.[Radu],
Van Gool, L.J.[Luc J.],
Automatic Stave Discovery for Musical Facsimiles,
ACCV12(IV:510-523).
Springer DOI
1304
BibRef
Piatkowska, W.[Weronika],
Nowak, L.[Leszek],
Pawlowski, M.[Marcin],
Ogorzalek, M.[Maciej],
Stafflines Pattern Detection Using the Swarm Intelligence Algorithm,
ICCVG12(557-564).
Springer DOI
1210
BibRef
Pinto, T.[Telmo],
Rebelo, A.[Ana],
Giraldi, G.[Gilson],
Cardoso, J.S.[Jaime S.],
Music Score Binarization Based on Domain Knowledge,
IbPRIA11(700-708).
Springer DOI
1106
BibRef
Cardoso, J.S.[Jaime S.],
Rebelo, A.[Ana],
Robust Staffline Thickness and Distance Estimation in Binary and
Gray-Level Music Scores,
ICPR10(1856-1859).
IEEE DOI
1008
BibRef
Visaniy, M.,
Kieu, V.C.,
Fornes, A.,
Journet, N.,
ICDAR 2013 Music Scores Competition: Staff Removal,
ICDAR13(1407-1411)
IEEE DOI
1312
image recognition
BibRef
Fornes, A.[Alicia],
Dutta, A.[Anjan],
Gordo, A.[Albert],
Llados, J.[Josep],
The ICDAR 2011 Music Scores Competition: Staff Removal and Writer
Identification,
ICDAR11(1511-1515).
IEEE DOI
1111
BibRef
Dutta, A.[Anjan],
Pal, U.[Umapada],
Fornes, A.[Alicia],
Llados, J.[Josep],
An Efficient Staff Removal Approach from Printed Musical Documents,
ICPR10(1965-1968).
IEEE DOI
1008
BibRef
Dalitz, C.[Christoph],
Pranzas, C.[Christine],
German Lute Tablature Recognition,
ICDAR09(371-375).
IEEE DOI
0907
BibRef
Mokbel, B.[Bassam],
Hasenfuss, A.[Alexander],
Hammer, B.[Barbara],
Graph-Based Representation of Symbolic Musical Data,
GbRPR09(42-51).
Springer DOI
0905
BibRef
Szwoch, M.[Mariusz],
Guido: A Musical Score Recognition System,
ICDAR07(809-813).
IEEE DOI
0709
BibRef
Earlier:
A Robust Detector for Distorted Music Staves,
CAIP05(701).
Springer DOI
0509
BibRef
Toyama, F.[Fubito],
Shoji, K.[Kenji],
Miyamichi, J.[Juichi],
Symbol Recognition of Printed Piano Scores with Touching Symbols,
ICPR06(II: 480-483).
IEEE DOI
0609
BibRef
Stückelberg, M.V.,
Pellegrini, C.,
Hilario, M.,
An Architecture for Musical Score Recognition Using
High-Level Domain Knowledge,
ICDAR97(813-818).
IEEE DOI
9708
BibRef
Kashino, K.,
Hagita, N.,
A Music Scene Analysis System with the MRF-Based
Information Integration Scheme,
ICPR96(II: 725-729).
IEEE DOI
9608
(NTT Basic Res. Labs, J)
BibRef
Reed, K.,
Parker, J.,
Automatic Computer Recognition of Printed Music,
ICPR96(III: 803-807).
IEEE DOI
9608
(Univ. of Calgary, CDN)
BibRef
d'Andecy, V.P.,
Camillerapp, J.,
Leplumey, I.,
Kalman filtering for segment detection: application to music scores
analysis,
ICPR94(A:301-305).
IEEE DOI
9410
BibRef
Leplumey, I.,
Camillerapp, J.,
Lorette, G.,
A Robust Detector for Music Staves,
ICDAR93(902-905).
BibRef
9300
Sicard, E.,
An efficient method for the recognition of printed music,
ICPR92(III:573-576).
IEEE DOI
9208
BibRef
Kato, H.,
Inokuchi, S.,
A Recognition System for Printed Piano Music using Musical Knowledge
and Constraints,
SDIA92(xx-yy).
0905
BibRef
Carter, N.P.,
Bacon, R.A.,
Automatic Recognition of Printed Music,
SDIA92(xx-yy).
0905
BibRef
Itagaki, T.,
Isogai, M.,
Hashimoto, S.,
Ohteru, S.,
Automatic Recognition of Several Types of Musical Notation,
SDIA92(xx-yy).
0905
BibRef
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Detection and Correction of Document Skew, and other Distortions .