DocumentCode
2474167
Title
Automatic computer recognition of printed music
Author
Reed, K. Todd ; Parker, J.R.
Author_Institution
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
Volume
3
fYear
1996
fDate
25-29 Aug 1996
Firstpage
803
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.547279
Filename
547279
Link To Document