Title :
Musical symbol recognition using SOM-based fuzzy systems
Author :
Su, Mu-Chun ; Tew, Chee-Yuen ; Chen, Hsin-Hua
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-li, Taiwan
Abstract :
A large number of research activities have been undertaken to investigate optical music recognition (OMR). OMR involves identifying musical symbols on a scanned sheet of music and transforming them into a computer readable format. We propose an efficient method based on SOM-based fuzzy systems to recognize musical symbols. A database consisting of 9 kinds of musical symbols were used to test the performance of the SOM-based fuzzy systems
Keywords :
document image processing; fuzzy neural nets; music; optical character recognition; performance evaluation; self-organising feature maps; visual databases; computer readable format; database; fuzzy SOM systems; fuzzy self organising feature maps; musical symbol recognition; neurofuzzy systems; optical character recognition; optical music recognition; pattern recognition; performance evaluation; Computational efficiency; Computer science; Fuzzy neural networks; Fuzzy systems; Neural networks; Optical character recognition software; Optical computing; Ordinary magnetoresistance; Pattern recognition; Vector quantization;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944402
