Title :
Automatic computer recognition of printed music
Author :
Reed, K. Todd ; Parker, J.R.
Author_Institution :
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
Abstract :
This paper provides an overview to the implementation of Lemon, a complete optical music recognition system. Among the techniques employed by the implementation are: template matching, the Hough transform, line adjacency graphs, character profiles, and graph grammars. Experimental results, including comparisons with commercial systems, are provided
Keywords :
Hough transforms; graph theory; image segmentation; music; optical character recognition; Hough transform; Lemon; character profiles; computer recognition; graph grammars; line adjacency graphs; optical music recognition system; printed music; template matching; Character recognition; Computer science; Computer vision; Head; Image segmentation; Laboratories; Multiple signal classification; Optical character recognition software; Ordinary magnetoresistance; Text recognition;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547279
