Table 4 Correct classification rates for the Fisher method for both the symbols correctly extracted and partially extracted. The vectors of features employed are the Fourier descriptors of the distance to the centroid of the contour points (FD1) and the two sets of angular-radial transform coefficients with center at the centroid of the contour and at the center of bounding box, ART1 and ART2, respectively. The choice of the membership is done using a k-NN and Gaussian approach.
From: Optical Music Recognition for Scores Written in White Mensural Notation
Fisher linear classifier results | |||||
|---|---|---|---|---|---|
Classification rate with entire symbols | Classification rate with partial symbols | ||||
Notation style | Notation style | ||||
Britto | Sanz | Britto | Sanz | ||
K = 1 | 73.33% | 59.74% | 41.94% | 20.59% | |
ART1 k-NN | K = 3 | 74.87% | 64.28% | 45.16% | 17.65% |
K = 5 | 75.38% | 64.28% | 41.94% | 17.65% | |
K = 1 | 67.18% | 45.45% | 45.16% | 17.65% | |
ART2 k-NN | K = 3 | 67.18% | 47.40% | 45.16% | 20.59% |
K = 5 | 67.18% | 49.35% | 45.16% | 20.59% | |
ART1 Gaussian | 72.31% | 59.06% | 32.26% | 23.53% | |
ART2 Gaussian | 63.08% | 46.10% | 45.16% | 20.59% | |
FD1 Gaussian | 62.05% | 51.95% | 35.48% | 29.41% | |