Search results for "Biometrics"

showing 10 items of 60 documents

Small Sample Biometric Recognition Based on Palmprint and Face Fusion

2009

Contactless biometrics provide high comfort and hygiene in person recognition. Because of this, such systems are better accepted by the general public. This paper proposes an adaptive, contactless, biometric system which combines two modalities: palmprint and face. The processing chain has been designed to overcome embedded system constraints and small sample set problem: after a palmprint is extracted from a hand image, Gabor filters are applied to both the palmprint and face in order to extract parameters, which are then used for classification. Fusion possibilities are also discussed and tested using a multimodal database of 130 people designed by the authors. High recognition performanc…

Image fusionModality (human–computer interaction)BiometricsPixelComputer sciencebusiness.industryFeature extractionPattern recognitionContext (language use)Facial recognition systemFace (geometry)Computer visionArtificial intelligencebusiness2009 Fourth International Multi-Conference on Computing in the Global Information Technology
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The biometric antecedents to happiness

2017

It has been suggested that biological markers are associated with human happiness. We contribute to the empirical literature by examining the independent association between various aspects of biometric wellbeing measured in childhood and happiness in adulthood. Using Young Finns Study data (n = 1905) and nationally representative linked data we examine whether eight biomarkers measured in childhood (1980) are associated with happiness in adulthood (2001). Using linked data we account for a very rich set of confounders including age, sex, body size, family background, nutritional intake, physical activity, income, education and labour market experiences. We find that there is a negative rel…

MaleEmotionsHappinessSocial Scienceslcsh:MedicineBlood Pressure050109 social psychologyBiochemistryVascular MedicineDevelopmental psychologyPregnancyMedicine and Health ScienceshappinessPsychologyEthnicitiesPublic and Occupational Health050207 economicsChildlcsh:Scienceta512Finlandmedia_commonMultidisciplinary05 social sciencesConfoundingAge FactorsBiometricsAdipose TissueChild PreschoolFemaleAnatomyPsychologyResearch ArticleAdultAdolescentBiometrics515 Psychologymedia_common.quotation_subjectPhysical activityResearch and Analysis MethodsSex FactorsComputational Techniques0502 economics and businessAdultsHumansPersonality0501 psychology and cognitive sciencesAssociation (psychology)Triglyceridesbiometric antecedentslcsh:RBiology and Life SciencesPhysical Activityta3121ta3123Biological TissueAge GroupsNegative relationshipPeople and PlacesHappinessPopulation Groupingslcsh:QLiterature studyBiomarkersFinnsFollow-Up StudiesPLOS ONE
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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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Seed morphology and seed coat structure in Mediterranean plants: implication for evolution, taxonomy and germinative performance.

2015

A better understanding of morphological, ultra-structural and anatomical seed coat characteristics can contribute to explain and predict seed performance under certain environmental conditions and select the most suitable treatments promoting seed germination. The Seed Banks at the Botanic Gardens of Catania and Palermo (Sicily) are particularly involved in research studies aimed to detect and describe macro- and micro-morphological features of seeds from different plant families and genera, using both light and scanning electron microscopy. These studies mainly aim to 1) recognize and compare inter- and intra-specific variation of seed coat traits, with particular attention on rare and thr…

MicroscopyBiometricsgerminationSettore BIO/02 - Botanica SistematicaScanning Electron MicroscopySeed morphologyseedsMediterraneanseeds; germination ; Mediterranean
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A Novel Iris Recognition System based on Micro-Features

2007

In this paper a novel approach for iris recognition system based on iris micro-features is proposed. The proposed system follows the minutiae based approach developed for fingerprint recognition systems. The proposed system uses four iris microfeatures, considered as minutiae, for identification. The individualized characteristics are nucleus, collarette, valleys and radius. Iris recognition is divided in three main phases: image preprocessing, micro-features extraction and matching. The algorithm has been tested on CASIA v1.0 iris image database obtaining an high accuracy. The obtained experimental results have been analyzed and compared with the Daugman based approach.

MinutiaeMatching (graph theory)Biometricsbusiness.industryIris recognitionFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionFingerprint recognitionComputingMethodologies_PATTERNRECOGNITIONGeographyiris micro-characteristIcs recognition systemPreprocessorComputer visionIRIS (biosensor)Artificial intelligencebusiness
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Fingerprint image enhancement using directional morphological filter

2005

Fingerprint images quality enhancement is a topic phase to ensure good performance in an automatic fingerprint identification system (AFIS) based on minutiae matching. In this paper a new fingerprint enhancement algorithm based on morphological filter is introduced. The algorithm is based on three steps: directional decomposition, morphological filter and composition. The performance of the proposed approach has been evaluated on two sets of images: the first one is DB3 database from Fingerprint Verification Competition (FVC) and the second one is self collected using an optical scanner

MinutiaeScannerMatching (graph theory)business.industryComputer scienceImage qualityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhase (waves)Fingerprint Verification CompetitionPattern recognitionImage segmentationFingerprintBiometrics | Algorithms | fingerprint orientationArtificial intelligencebusiness
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An Advanced Technique for User Identification Using Partial Fingerprint

2013

User identification is a very interesting and complex task. Invasive biometrics is based on traits uniqueness and immutability over time. In forensic field, fingerprints have always been considered an essential element for personal recognition. The traditional issue is focused on full fingerprint images matching. In this paper an advanced technique for personal recognition based on partial fingerprint is proposed. This system is based on fingerprint local analysis and micro-features, endpoints and bifurcations, extraction. The proposed approach starts from minutiae extraction from a partial fingerprint image and ends with the final matching score between fingerprint pairs. The computation o…

MinutiaeSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMatching (statistics)Biometricsbusiness.industryComputer scienceData_MISCELLANEOUSFeature extractionFingerprint Verification CompetitionPattern recognitionFingerprint recognitionIdentification (information)FingerprintComputer visionArtificial intelligenceUser identification Partial fingerprint Minutiae Roto-translation parametersbusiness
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Single-channel EEG-based subject identification using visual stimuli

2021

Electroencephalography (EEG) signals have been recently proposed as a biometrics modality due to some inherent advantages over traditional biometric approaches. In this work, we studied the performance of individual EEG channels for the task of subject identification in the context of EEG-based biometrics using a recently proposed benchmark dataset that contains EEG recordings acquired under various visual and non-visual stimuli using a low-cost consumer-grade EEG device. Results showed that specific EEG electrodes provide consistently higher identification accuracy regardless of the feature and stimuli types used, while features based on the Mel Frequency Cepstral Coefficients (MFCC) provi…

Modality (human–computer interaction)Biometricsmedicine.diagnostic_testComputer sciencebusiness.industryFeature extractionComputerApplications_COMPUTERSINOTHERSYSTEMSPattern recognitionContext (language use)ElectroencephalographyIdentification (information)ComputingMethodologies_PATTERNRECOGNITIONFeature (computer vision)medicineArtificial intelligenceMel-frequency cepstrumbusiness2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
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A taxonomic revision of the Palaearctic genus Roeseliana (Orthoptera: Tettigoniidae: Tettigoniinae: Platycleidini): a case of ongoing Mediterranean s…

2023

The genus Roeseliana presently includes 10 specific or subspecific taxa, but following different authors some of them are considered synonyms. However, the authors who have treated these taxa often did not agree with the synonymies, in particular, concerning some taxa, such as R. fedtschenkoi (Saussure, 1874) and R. roeselii (Hagenbach, 1822). The present authors examined hundreds of specimens of different taxa, for the first time were able to obtain the translation from the Russian of the description of R. fedtschenkoi, compared the main morphological characters used to discriminate different taxa, biometrics, bioacoustics and genetics of some taxa. This allowed them to conclude that it is…

MorphologyInsectaArthropodaMorphology Biometrics Bioacoustics genetics SpeciationSpeciationBiodiversityBiometricsSettore AGR/11 - ENTOMOLOGIA GENERALE E APPLICATATettigoniidaeGeneticsAnimaliaOrthopteraAnimal Science and ZoologyBioacousticsEcology Evolution Behavior and SystematicsTaxonomy
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Extraction and fusion of spectral parameters for face recognition

2011

This is the copy of journal's version originally published in Proc. SPIE 7877: http://spie.org/x10.xml?WT.svl=tn7. Reprinted with permission of SPIE. Many methods have been developed in image processing for face recognition, especially in recent years with the increase of biometric technologies. However, most of these techniques are used on grayscale images acquired in the visible range of the electromagnetic spectrum. The aims of our study are to improve existing tools and to develop new methods for face recognition. The techniques used take advantage of the different spectral ranges, the visible, optical infrared and thermal infrared, by either combining them or analyzing them separately …

Near Infrared[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingBiometrics[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingInfraredComputer scienceElectromagnetic spectrumFeature extractionImage processing02 engineering and technologyShort Wave Infrared[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingGrayscaleFacial recognition system[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringFeature descriptorComputer visionFace recognition[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryNear-infrared spectroscopyVisibleFeature extraction020201 artificial intelligence & image processingArtificial intelligencefeature descriptorbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing:Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 [VDP]
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