Assessment of biometric recognition methods. Biometric technologies have been developed to detect or verify an individual’s identity. These methods are based on physiological characteristics (called biometric signatures ), such as facial features, the iris of the eye, fingerprints, the voice, the shape of the hand, and the gait. In Chance (Winter 2004), four biometric recognition algorithms were compared. All four were applied to 1,196 biometric signatures, and “match” scores were obtained. The Spearman correlation between match scores for each possible pair of algorithms was determined. The rank correlation matrix is as follows:
Method | I | II | III | IV |
I | 1 | .189 | .592 | .340 |
II |
| 1 | .205 | .324 |
III |
|
| 1 | .314 |
IV |
|
|
| 1 |
a. Locate the largest rank correlation and interpret its value.
b. Locate the smallest rank correlation and interpret its value.
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