Master Thesis - Department of Computer Science
Master Thesis - Department of Computer Science
Master Thesis - Department of Computer Science
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Face,<br />
Hand geometry,<br />
and Retina<br />
Multiple<br />
Biometrics<br />
Multiple<br />
Represen−<br />
tations<br />
Minutiae−based<br />
and<br />
Ridge map−based<br />
Representations<br />
Multiple<br />
Sensors<br />
Multibiometric<br />
Sources<br />
Multiple<br />
Units<br />
Right eye<br />
and<br />
Left Eye<br />
Solid−state<br />
and optical<br />
Sensors<br />
Multiple<br />
Instances<br />
Centerlight,<br />
Rightlight<br />
and Wink Face<br />
Figure 2.10: Sources <strong>of</strong> multiple evidence in multimodal biometrics.<br />
matchers: (a) Abstract level, (b) Rank level and (c) Measurement level. Fig. 2.11<br />
shows the summary <strong>of</strong> approaches to information fusion in biometry.<br />
2.3.3.1 Fusion Prior to Matching<br />
• Sensor level: Integration <strong>of</strong> information at sensor level is performed prior<br />
to matching. The raw data from the sensor(s) are combined in sensor level<br />
fusion [52]. This type <strong>of</strong> fusion can be done only if the multiple cues are either<br />
instances <strong>of</strong> the same biometric trait obtained from multiple compatible sensors<br />
or multiple instances <strong>of</strong> the same biometric trait obtained using a single sensor.<br />
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