On the Recognition of Printed Characters of Any Font and Size
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Shape Detection and Description via Model-Based Region Grouping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Interpretation of Line Drawing Images: Technical Drawings, Maps, and Diagrams
Machine Interpretation of Line Drawing Images: Technical Drawings, Maps, and Diagrams
A Symbol Classifier Able to Reject Wrong Shapes for Document Recognition Systems
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Automatic Computer Recognition of Printed Music
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Strike Up the Score: Deriving Searchable and Playable Digital Formats from Sheet Music
Strike Up the Score: Deriving Searchable and Playable Digital Formats from Sheet Music
WEDELMUSIC Format: An XML Music Notation Format for Emerging Applications
WEDELMUSIC '01 Proceedings of the First International Conference on WEB Delivering of Music (WEDELMUSIC'01)
Optical Music Sheet Segmentation
WEDELMUSIC '01 Proceedings of the First International Conference on WEB Delivering of Music (WEDELMUSIC'01)
Online Pen-Based Recognition of Music Notation with Artificial Neural Networks
Computer Music Journal
Staff and graphical primitive segmentation in old handwritten music scores
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Primitive segmentation in old handwritten music scores
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
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This paper presents an ongoing project working on an optical handwritten music manuscript recognition system. A brief background of Optical Music Recognition (OMR) is presented, together with a discussion on some of the main obstacles in this domain. An earlier OMR prototype for printed music scores is described, with illustrations of the low-level pre-processing and segmentation routines, followed by a discussion on its limitations for handwritten manuscripts processing, which led to the development of a stroke-based segmentation approach using mathematical morphology. The pre-processing sub-systems consist of a list of automated processes, including thresholding, deskewing, basic layout analysis and general normalization parameters such as the stave line thickness and spacing. High-level domain knowledge enhancements, output format and future directions are outlined.