Paper
24 January 2011 OMR of early plainchant manuscripts in square notation: a two-stage system
Carolina Ramirez, Jun Ohya
Author Affiliations +
Proceedings Volume 7874, Document Recognition and Retrieval XVIII; 787417 (2011) https://doi.org/10.1117/12.876771
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
While Optical Music Recognition (OMR) of modern printed and handwritten documents is considered a solved problem, with many commercial systems available today, the OMR of ancient musical manuscripts still remains an open problem. In this paper we present a system for the OMR of degraded western plainchant manuscripts in square notation from the XIV to XVI centuries. The system has two main blocks, the first one deals with symbol extraction and recognition, while the second one acts as an error detection stage for the first block outputs. For symbol extraction we use widely known image-processing techniques, such as Sobel filtering and Hough Transform, and SVM for classification. The error detection stage is implemented with a hidden Markov model (HMM), which takes advantage of a priori knowledge for this specific kind of music.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carolina Ramirez and Jun Ohya "OMR of early plainchant manuscripts in square notation: a two-stage system", Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 787417 (24 January 2011); https://doi.org/10.1117/12.876771
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Expectation maximization algorithms

Image segmentation

Evolutionary algorithms

Data modeling

Image processing

Binary data

Databases

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