Table 2 Correct classification rates for the k-NN method for symbols correctly extracted and partially extracted. The methods employed for the extraction of the vectors of features are: the Fourier descriptor, with the edge function computed by distance from the centroid (FD1), the Wavelet transform coefficients (WTC), the Fourier transform coefficients (FTC) and the two sets of angular-radial transform coefficients based on center of gravity of the edges (ART1) and on the center of the bounding box (ART2).
From: Optical Music Recognition for Scores Written in White Mensural Notation
K-NN classifier results | |||||
|---|---|---|---|---|---|
Classification rate with entire symbols | Classification rate with partial symbols | ||||
Notation style | Notation style | ||||
Britto | Sanz | Britto | Sanz | ||
K = 1 | 72.31% | 57.80% | 64.52% | 29.41% | |
FD1 | K = 3 | 73.33% | 58.40% | 61.29% | 29.41% |
K = 5 | 74.87% | 61.04% | 64.52% | 26.47% | |
K = 1 | 63.08% | 40.26% | 16.13% | 5.88% | |
WTC | K = 3 | 68.72% | 46.75% | 16.13% | 8.82% |
K = 5 | 74.36% | 51.30% | 16.13% | 11.76% | |
K = 1 | 48.72% | 35.71% | 0% | 2.94% | |
FTC | K = 3 | 48.72% | 40.91% | 0% | 2.94% |
K = 5 | 53.33% | 44.81% | 0% | 2.94% | |
K = 1 | 95.90% | 79.87% | 58.06% | 20.59% | |
ART1 | K = 3 | 95.38% | 78.57% | 61.29% | 26.47% |
K = 5 | 95.38% | 81.82% | 70.97% | 26.47% | |
K = 1 | 94.36% | 75.32% | 22.58% | 32.35% | |
ART2 | K = 3 | 91.79% | 72.73% | 41.93% | 35.29% |
K = 5 | 91.79% | 70.12% | 51.61% | 38.23% | |