Fuzzy Fusion in Multimodal Biometric Systems

Conti, Vincenzo; Milici, G.; Ribino, Patrizia; Sorbello, Filippo; Vitabile, Salvatore

doi:10.1007/978-3-540-74819-9_14

Cited by 23 publications

(14 citation statements)

References 9 publications

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“…A. Bhattacharjee proposed feature level fusion in Daubechies wavelet [12]. V. Conti and G.Milici proposed system which integrates fuzzylogic methods at matching-score fusion [16] which results 6.7% improvement than monomodal systems.…”

Section: Rela Ted Workmentioning

confidence: 99%

Band usage and cancellable transformations for authentication of multibiometrics

Palanisamy

Canessane

2015

2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

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A wide variety of systems requires eonsisteney in personal legality to identify an isolated users seeking aeeess to their opted services. The aim of these systems is to make sure that the yield utilities are gained only by the above board. This Consisteney ean be aehieved by using multibiometrie whieh is assoeiated with weaving of unique physiologieal features of an isolated user . However, these multibiometrie systems need more storage to store the templates of eaeh individual. The biometrie cryptosystem resolves such a storage problem and provides seeurity to the stored template. This paper propose the new approach in addition to the biometrie eryptosystem whieh helps to aehieve the more secure and eomplex multi-biometrie system.

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Section: Rela Ted Workmentioning

confidence: 99%

Band usage and cancellable transformations for authentication of multibiometrics

Palanisamy

Canessane

2015

2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

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“…Conti et al [28] proposed a multimodal biometric system using two different Fingerprint acquisitions. The matching module integrates fuzzy-logic methods for matching-score fusion.…”

Section: Match Score Level Fusion and Rank Level Fusionmentioning

confidence: 99%

Multimodal biometric systems

Taouche¹,

Batouche²,

Bahaj³

et al. 2014

2014 International Conference on Multimedia Computing and Systems (ICMCS)

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Biometric is a unique, measurable physiological or behavioral characteristic of a person. The biometric system is one such that can provide accurate and reliable scheme for person verification and authentication. Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, non universality, spoof attacks, and unacceptable error rates. Several of these problems can be addressed by deploying multimodal biometric systems that combine two or more biometric modalities. By combining multiple sources of information, these systems improve matching performance, increase population coverage, deter spoofing, and facilitate indexing. Different scenarios and fusion levels are possible and different integration strategies can be adopted to consolidate information in multi modal systems.

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“…Ratha et al [17] proposed a unimodal distortion-tolerant fingerprint authentication technique based on graph representation. Using the fingerprint minutiae features, a weighted graph of minutiae is constructed for both the query fingerprint and the reference fingerprint.…”

Section: Related Workmentioning

confidence: 99%

“…In this paper, we introduce a frequency approach [17], to generate a unified homogeneous template for fingerprint and iris features. In greater detail, the proposed approach performs fingerprint matching using the segmented regions (Regions Of Interests, ROIs) surrounding fingerprint minutia points [11].…”

Section: Multimodal Biometric Identification Systemmentioning

confidence: 99%