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Quality dependent fusion of intramodal and multimodal biometric experts - art. no. 653903

Kittler, J, Poh, N, Fatukasi, O, Messer, K, Kryszczuk, K, Richiardi, J and Drygajlo, A (2007) Quality dependent fusion of intramodal and multimodal biometric experts - art. no. 653903 BIOMETRIC TECHNOLOGY FOR HUMAN IDENTIFICATION IV, 6539. p. 53903.

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We address the problem of score level fusion of intramodal and multimodal experts in the context of biometric identity verification. We investigate the merits of confidence based weighting of component experts. In contrast to the conventional approach where confidence values are derived from scores, we use instead raw measures of biometric data quality to control the influence of each expert on the final fused score. We show that quality based fusion gives better performance than quality free fusion. The use of quality weighted scores as features in the definition of the fusion functions leads to further improvements. We demonstrate that the achievable performance gain is also affected by the choice of fusion architecture. The evaluation of the proposed methodology involves 6 face and one speech verification experts. It is carried out on the XM2VTS data, base.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Fatukasi, O
Messer, K
Kryszczuk, K
Richiardi, J
Drygajlo, A
Date : 2007
Contributors :
Prabhakar, S
Ross, AA
Uncontrolled Keywords : biometric authentication, multiple classifier system, intramodal fusion, multimodal fusion, quality dependent fusion, SYSTEMS
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 11:24
Last Modified : 24 Jan 2020 20:46

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