Search results for "Multimodal biometrics"

showing 3 items of 3 documents

Palmprint and face score level fusion: hardware implementation of a contactless small sample biometric system

2011

Including multiple sources of information in personal identity recognition and verification gives the opportunity to greatly improve performance. We propose a contactless biometric system that combines two modalities: palmprint and face. Hardware implementations are proposed on the Texas Instrument Digital Signal Processor and Xilinx Field-Programmable Gate Array (FPGA) platforms. The algorithmic chain consists of a preprocessing (which includes palm extraction from hand images), Gabor feature extraction, comparison by Hamming distance, and score fusion. Fusion possibilities are discussed and tested first using a bimodal database of 130 subjects that we designed (uB database), and then two …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Image fusion[INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR]BiometricsComputer sciencebusiness.industryFeature extractionGeneral EngineeringWord error rate020207 software engineeringImage processing02 engineering and technologyFacial recognition systemAtomic and Molecular Physics and OpticsMultimodal biometricsPattern recognition (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligence[ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR]businessComputer hardware
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A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems

2010

The basic aim of a biometric identification system is to discriminate automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal biometric identification systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy and dependability. In this paper, an innovative multimodal biometric identification system based on iris and fingerprint traits is proposed. The paper is a state-of-the-art advancement of multibiometrics, offering an innovative perspective on features fusion. In greater detail, a frequency-based approach result…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniBiometricsComputer sciencebusiness.industryIris recognitionFeature extractionFingerprint Verification CompetitionPattern recognitionFingerprint recognitionSensor fusionComputer Science ApplicationsHuman-Computer InteractionIdentification (information)Control and Systems EngineeringMultimodal biometricsFingerprintFusion techniques identification systems iris and fingerprint biometry multimodal biometric systemsComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareInformation Systems
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Fuzzy Fusion in Multimodal Biometric Systems

2007

Multimodal authentication systems represent an emerging trend for information security. These systems could replace conventional mono-modal biometric methods using two or more features for robust biometric authentication tasks. They employ unique combinations of measurable physical characteristics: fingerprint, facial features, iris of the eye, voice print, hand geometry, vein patterns, and so on. Since these traits are hardly imitable by other persons, the aim of these multibiometric systems is to achieve a high reliability to determine or verify person's identity. In this paper a multimodal biometric system using two different fingerprints is proposed. The matching module integrates fuzzy…

Matching (statistics)AuthenticationBiometricsMultimodal biometricsbusiness.industryComputer scienceFingerprintPattern recognitionArtificial intelligenceInformation securitybusinessSpeaker recognitionHand geometry
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