publication . Article . Other literature type . 2016

Fusion of Multimodal Biometrics using Feature and Score Level Fusion

Mohana Prakash, S.; Betty, P.; Sivanarulselvan, K.;
Open Access
  • Published: 28 Apr 2016
Abstract
Biometrics is used to uniquely identify a person‘s individual based on physical and behavioural characteristics. Unimodal biometric system contains various problems such as degree of freedom, spoof attacks, non-universality, noisy data and error rates. Multimodal biometrics is introduced to overcome the limitations in Unimodal biometrics. The presented methodology extracts the features of four biometric traits such as fingerprint, palm, iris and retina. Then extracted features are fused in the form of finger print, palm and iris, retina by Discrete Wavelet Transformation. Similarity scores are generated for each fused biometric traits by using a classifier. Usin...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONData_MISCELLANEOUSComputingMethodologies_PATTERNRECOGNITION
free text keywords: multimodal biometrics, level of fusion
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Article . 2016
Provider: ZENODO
Zenodo
Other literature type . 2016
Provider: Datacite
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