Combining Biometric Fractal Pattern and Particle Swarm Optimization-Based Classifier for Fingerprint Recognition
Table 2
Compares the results of the proposed method and other methods.
Security level
A
B
C
D
E
The number of attrition lines
0
1
23
4
5
Proposed PSO-based classifier
Accuracy (%)
100%
100%
100%
16.7%
0.00%
Average output
1.0000
1.0000
0.9583
0.1667
0.0000
Threshold value
0.95
0.95
0.91
—
—
LMS-based classifier
Accuracy (%)
100%
100%
100%
16.7%
0.00%
Average output
0.9998
0.9920
0.9044
0.2981
0.0000
Threshold value
0.95
0.95
0.86
—
—
Traditional PSO-based classifier
Accuracy (%)
100%
100%
75%
16.7%
0.00%
Average output
0.9998
0.9920
0.8310
0.3187
0.0000
Threshold value
0.95
0.95
0.79
—
—
Note: Accuracy(%) = : the number of correctly discriminated fingerprints; : total number of fingerprints. . Symbol—means that overall outputs of the classifier are close, and the threshold values is unable to determine.