Title :
Musical score recognition: A hierarchical and recursive approach
Author_Institution :
Lab. TIMC-IMAG, Univ. Joseph Fourier, Grenoble
Abstract :
Musical scores for live music show specific characteristics: large format, orchestral score, bad quality of (photo) copies. Moreover such music is generally handwritten. The author addresses the music recognition problem for such scores, and show a dedicated filtering that has been developed, both for segmentation and correction of copy defects. Recognition process involves geometrical and topographical parameters evaluation. The whole process (filtering + recognition) is recursively applied on images and sub-images, in a knowledge-based way
Keywords :
image recognition; music; copy defects; correction; dedicated filtering; filtering; geometrical evaluation; handwritten; hierarchical; images; knowledge-based; large format; live music show specific characteristics; music recognition; musical score recognition; orchestral score; recognition; recursive; segmentation; sub-images; topographical parameters evaluation; Classification algorithms; Digital filters; EMP radiation effects; Electronic mail; Filtering; Head; Image recognition; Image segmentation; Morphology; Music;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395590