Optical Music Recognition for Scores Written in White Mensural Notation

@article{Tardn2009OpticalMR,
  title={Optical Music Recognition for Scores Written in White Mensural Notation},
  author={Lorenzo J. Tard{\'o}n and Simone Sammartino and Isabel Barbancho and Ver{\'o}nica Romero G{\'o}mez and Antonio Oliver},
  journal={EURASIP Journal on Image and Video Processing},
  year={2009},
  volume={2009},
  pages={1-23}
}
An Optical Music Recognition (OMR) system especially adapted for handwritten musical scores of the XVII-th and the early XVIII-th centuries written in white mensural notation is presented. The system performs a complete sequence of analysis stages: the input is the RGB image of the score to be analyzed and, after a preprocessing that returns a black and white image with corrected rotation, the staves are processed to return a score without staff lines; then, a music symbol processing stage… 
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References

SHOWING 1-10 OF 47 REFERENCES
Segmentation and preliminary recognition of madrigals notated in white mensural notation
  • N. P. Carter
  • Computer Science, Art
    Machine Vision and Applications
  • 2007
TLDR
The work described here deals specifically with initial processing of images containing early seventeenth century madrigals notated in white mensural notation, taking advantage of structural decomposition techniques based on a novel transformation of the line adjacency graph.
Dealing with superimposed objects in optical music recognition
TLDR
The focus of this paper is on techniques developed to deal with superimposed objects that are superimposed on a five-line staff in music recognition.
Recognition and reconstruction of primitives in music scores
TLDR
This paper focuses on the strategy of recognizing sub-segmented primitives, and the reassembly process which reconstructs low level graphical primitives back to musical symbols.
Ancient Music Recovery for Digital Libraries
TLDR
This project, beyond the inventory of the Biblioteca Geral da Universidade de Coimbra musical funds aims to develop algorithms for scores restoration and musical symbols recognition in order to allow a suitable representation and restoration on digital format.
Adaptive optical music recognition
The basic goal of the Adaptive Optical Music Recognition system presented herein is to create an adaptive software for the recognition of musical notation. The focus of this research has been to
Automatic recognition of printed music in the context of electronic publishing
TLDR
An original system for automatic recognition of printed music developed by the author is described, designed to be widely applicable and hence is, in effect, omnifont and size-independent, with significant tolerance of noise, limited rotation, broken print and distortion.
Goal-directed evaluation for the improvement of optical music recognition on early music prints
TLDR
This work uses an adaptive OMR system for early music prints based on hidden Markov models to improve recognition accuracy and presents a goal-directed comparison of several popular adaptive binarization algorithms, which are often evaluated only subjectively.
Using domain knowledge in low-level visual processing to interpret handwritten music: An experiment
TLDR
An experiment in which knowledge of music, a highly structured domain is applied to extract primitive musical features from handwritten scores shows that if the domain of image processing is well defined, significant improvements in low-level segmentations can be achieved.
The Challenge of Optical Music Recognition
TLDR
The challenges posed by optical music recognition are described, and a generalised framework for software is presented that emphasises key stages that must be solved: staff line identification, musical object location, musical feature classification, and musical semantics.
Fast Capture of Sheet Music for an Agile Digital Music Library
TLDR
The research presented here is primarily based around using a Fast Fourier Transform (FFT) to determine the orientation of the page and makes signicant progress towards removing perspective distortion introduced by the camera not being parallel with the music.
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