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These matching results in Figure 5 are the final results after false match rejection, and the coordinates have been mapped to the original image.
Even a false match rate of one in 10,000 would produce thousands of false matches.
There are two key measures of how good a biometric system is: the false match rate, and the false non-match rate.
Asking for a birth date, for instance, decreases the likelihood that a child with a name close to one on the list would be subject to an additional search — one example of a false match that has led to complaints.
Figure 16 False match rate comparison.
If, the i th feature point match will be identified as a false match.
Normalized HD would have resulted in an HD = 0.5 (no false match).
A feature point match will be identified as a false match if max.
The viewpoint angle is 30 degrees, and there are 65 matches with 1 false match.
MOCC has a higher false match rate than SIFT but lower than SURF and FAST.
Most of the 20% false match points distributed in turning points.
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