Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution

Renu Sharma, Sukhendu Das and Padmaja Joshi

Abstract

In multimodal biometric systems, human identification is performed by fusing information in different ways like sensor-level, feature-level, score-level, rank-level and decision-level. Score level fusion is preferred over other levels of fusion because of its low complexity and sufficient availability of information for fusion. However, the scores obtained from different unimodal systems are heterogeneous in nature and hence they all require normalization before fusion. In this paper, we propose a client-centric score normalization technique based on extreme value theory (EVT), exploiting the properties of Generalized Extreme Value (GEV) distribution. The novelty lies in the application of extreme value theory over the tail of the complete score distribution (genuine and impostor scores), assuming that the genuine scores form extreme values (tail) with respect to the entire set of scores. Normalization is then performed by estimating the cumulative density function of GEV distribution, using the parameter set obtained from genuine data. For evaluation, the proposed method is compared with state-of-the-art methods on two publicly available multimodal databases: i) NIST BSSR1 [22] multimodal biometric score database and ii) Database created from Face Recognition Grand Challenge V2.0 [23] and LG4000 iris images [24], to show the efficiency of the proposed method.

Session

Poster 2

Files

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DOI

10.5244/C.29.131
https://dx.doi.org/10.5244/C.29.131

Citation

Renu Sharma, Sukhendu Das and Padmaja Joshi. Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution. In Xianghua Xie, Mark W. Jones, and Gary K. L. Tam, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 131.1-131.12. BMVA Press, September 2015.

Bibtex

@inproceedings{BMVC2015_131,
	title={Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution},
	author={Renu Sharma and Sukhendu Das and Padmaja Joshi},
	year={2015},
	month={September},
	pages={131.1-131.12},
	articleno={131},
	numpages={12},
	booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
	publisher={BMVA Press},
	editor={Xianghua Xie, Mark W. Jones, and Gary K. L. Tam},
	doi={10.5244/C.29.131},
	isbn={1-901725-53-7},
	url={https://dx.doi.org/10.5244/C.29.131}
}