A music notation construction engine for optical music recognition
Software—Practice & Experience
Optical Music Sheet Segmentation
WEDELMUSIC '01 Proceedings of the First International Conference on WEB Delivering of Music (WEDELMUSIC'01)
EURASIP Journal on Applied Signal Processing
Guido: A Musical Score Recognition System
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
A Comparative Study of Staff Removal Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical recognition of music symbols: A comparative study
International Journal on Document Analysis and Recognition
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Note symbol recognition plays a fundamental role in the process of an OMR system. In this paper, we propose new approaches for recognizing notes by extracting primitives and assembling them into constructed symbols. Firstly, we propose robust algorithms for extracting primitives (stems, noteheads and beams) based on Run-Length Encoding. Secondly, introduce the concept of interaction field to describe the relationship between primitives, and define six hierarchical categories for the structure of notes. Thirdly, propose an effective sequence to assemble the primitives into notes, guided by the mechanism of giving priority to the key structures. To evaluate the performance of those approaches,wepresent experimental results on real-life scores and comparisons with commercial systems. The results show our approaches can recognize notes with high-accuracy and powerful adaptability, especially for the complicated scores with high density of symbols.