Optical recognition of music symbols

Recognition of Online Handwritten Music Symbols

An effective way of digitizing a new musical composition is to use an e-pen and tablet application in which the user’s pen strokes are recognized online and the digital score is created with the sole effort of the composition itself. This work aims to be a starting point for research on the recognition of online handwritten music notation. To this end, different alternatives within the two moda...

Handwritten Optical Music Recognition

Optical Music Recognition (OMR) is a field of document analysis that aims to automatically read music scores. Music notation encodes music in a graphical form; OMR backtracks through this process to extract the musical information from this graphical representation. Common western music notation (CWMN) is an intricate system for visually representing music that has shown considerable resilience...

Human-Directed Optical Music Recognition

We propose a human-in-the-loop scheme for optical music recognition. Starting from the results of our recognition engine, we pose the problem as one of constrained optimization, in which the human can specify various pixel labels, while our recognition engine seeks an optimal explanation subject to the humansupplied constraints. In this way we enable an interactive approach with a uniform commu...

Renotation from Optical Music Recognition

We describe the music renotation problem, in which one transforms a collection of recognized music notation primitives (e.g. note heads, stems, beams, flags, clefs, accidentals, etc.) into a different notation format, such as transposing the notation or displaying it in a rectangle or arbitrary size. We represent a limited degree of image understanding through a graph that connects pairs of sym...

Optical Music Recognition: Feature Identification