A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault.

Biometric authentication is the process of recognizing a person by means of his\her psychological or behavioral traits. One of the most important issues faced by the biometric system developer is to protect the template obtained from the biometric of a person. Unimodal biometric system has some draw...

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Publicado en:Journal of Medical Systems Vol. 43; no. 5
Autores principales: Sujitha, V., Chitra, D.
Formato: algorithm equations & formulas pictorial review tables/charts Journal Article
Publicado: Springer Nature May2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
      vid: 43
      iid: 5
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-019-1220-x
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        atl: A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault.
      aug:
        au:
          Sujitha, V.
          Chitra, D.
        affil: Department of CSE, P. A. College of Engineering and Technology, Pollachi, Tamilnadu, India
      sug:
        subj:
          Biometrics Methods
          Logic
          Encryption Methods
          Dermatoglyphics
          Privacy and Confidentiality
          Image Processing, Computer Assisted Methods
          Signal Processing, Computer Assisted
          Algorithms
          Simulations
      ab: Biometric authentication is the process of recognizing a person by means of his\her psychological or behavioral traits. One of the most important issues faced by the biometric system developer is to protect the template obtained from the biometric of a person. Unimodal biometric system has some drawbacks such as noisy data, interclass variations and spoof attack. Multimodal biometric system has been developed to address the boundaries of unimodal biometric system and increase the security of template. In this paper, template security analysis of multimodal biometric system based of fingerprint and palmprint is proposed and implemented. Fuzzy vault scheme is employed to protect both the fingerprint and palmprint template. At enrollment, image processing techniques such as image enhancement, segmentation and bottom-hat filtering are applied on both the biometric to improve the quality and subsequently the most important features are extracted. Extracted features are concatenated. Combined features along with secret key are utilized to generate the database in the vault. During authentication, query images are sent as an input with the stored template to recover the key. Experimental results are shown that the proposed multi biometrics system performs well than the other methods considered for comparison.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        pictorial
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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