24.2.7.4 Analysis of Music, Musical Notation, Music Scores

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

Quirós, L.[Lorenzo], Toselli, A.H.[Alejandro H.], Vidal, E.[Enrique],
Multi-task Layout Analysis of Handwritten Musical Scores,
IbPRIA19(II:123-134).
Springer DOI 1910
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 .