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A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault.

V Sujitha1, D Chitra2

  • 1Department of CSE, P. A. College of Engineering and Technology, Pollachi, Tamilnadu, India. sujithavpacet@gmail.com.

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Summary
This summary is machine-generated.

This study enhances biometric security by combining fingerprint and palmprint data using a fuzzy vault scheme. This multimodal approach improves template protection against attacks, outperforming other methods.

Keywords:
Brute-force attackFingerprintMultimodal biometric systemPalmprint and security analysis

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Area of Science:

  • Computer Science
  • Biometrics
  • Information Security

Background:

  • Biometric authentication systems recognize individuals via unique traits.
  • Unimodal systems face challenges like data noise and spoofing.
  • Multimodal systems offer enhanced security and template protection.

Purpose of the Study:

  • To analyze and implement template security for a multimodal biometric system.
  • To secure biometric templates using the fuzzy vault scheme.
  • To combine fingerprint and palmprint data for robust authentication.

Main Methods:

  • Image enhancement, segmentation, and bottom-hat filtering applied to fingerprint and palmprint images.
  • Feature extraction and concatenation from both biometric modalities.
  • Fuzzy vault scheme used for secure template enrollment and key recovery during authentication.

Main Results:

  • The proposed multimodal biometric system demonstrates effective template security.
  • Experimental results show superior performance compared to other methods.
  • Successful key recovery achieved during the authentication phase.

Conclusions:

  • Multimodal biometric systems, particularly with fingerprint and palmprint integration, offer significant security advantages.
  • The fuzzy vault scheme provides a robust method for protecting biometric templates.
  • The proposed system effectively addresses the limitations of unimodal biometric systems.