Optical character recognition of the Orthodox Hellenic Byzantine Music notation

作者:

Highlights:

摘要

In this paper we present for the first time, the development of a new system for the off-line optical recognition of the characters used in the orthodox Hellenic Byzantine Music notation, that has been established since 1814. We describe the structure of the new system and propose algorithms for the recognition of the 71 distinct character classes, based on Wavelets, 4-projections and other structural and statistical features. Using a nearest neighbor classifier, combined with a post classification schema and a tree-structured classification philosophy, an accuracy of 99.4% was achieved, in a database of about 18,000 Byzantine character patterns that have been developed for the needs of the system.

论文关键词:Optical music recognition,Off-line character recognition,Byzantine Music,Byzantine Music notation,Wavelets,Projections,Neural networks,Contour processing,Nearest neighbor classifier,Byzantine Music database

论文评审过程:Received 21 October 1999, Accepted 17 April 2001, Available online 17 December 2001.

论文官网地址:https://doi.org/10.1016/S0031-3203(01)00098-X