Issue No. 11 - November (1999 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.809106
<p><b>Abstract</b>—Diagrams are widely used in society, to transmit information such as circuit designs, music, mathematical formulae, architectural plans, and molecular structure. Computers must process diagrams both as images (marks on paper) and as information. A diagram recognizer translates from image to information and a diagram generator translates from information to image. Current technology for diagram generation is ahead of the technology for diagram recognition. Diagram generators have extensive knowledge of notational conventions which relate to readability and aesthetics, whereas current diagram recognizers focus on the hard constraints of the notation. To create a recognizer capable of exploiting layout information, it is expedient to reuse the expertise in existing diagram generators. In particular, we discuss the use of Lime (our editor and generator for music notation) to proofread and correct the raw output of MIDIScan (a third-party commercial recognizer for music notation). Over the past several years, this combination of software has been distributed to thousands of users.</p>
Document image analysis, graphics recognition, diagram recognition, music notation.
L. Haken and D. Blostein, "Using Diagram Generation Software to Improve Diagram Recognition: A Case Study of Music Notation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 21, no. , pp. 1121-1136, 1999.