• DocumentCode
    3741335
  • Title

    Bimodal Biometric Verification Mechanism using fingerprint and face images(BBVMFF)

  • Author

    Manjunathswamy B E; Thriveni J; Venugopal K R

  • Author_Institution
    Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India
  • fYear
    2015
  • Firstpage
    372
  • Lastpage
    377
  • Abstract
    An increased demand of biometric authentication coupled with automation of systems is observed in the recent times. Generally biometric recognition systems currently used consider only a single biometric characteristic for verification or authentication. Researchers have proved the inefficiencies in unimodal biometric systems and propagated the adoption of multimodal biometric systems for verification. This paper introduces Bi-modal Biometric Verification Mechanism using Fingerprint and Face (BBVMFF). The BBVMFF considers the frontal face and fingerprint biometric characteristics of users for verification. The BBVMFF Considers both the Gabor phase and magnitude features as biometric trait definitions and simple lightweight feature level fusion algorithm. The fusion algorithm proposed enables the applicability of the proposed BBVMFF in unimodal and Bi-modal modes proved by the experimental results presented.
  • Keywords
    "TV","Biomedical imaging","Principal component analysis","Fingerprint recognition","Biological information theory","Testing","Fingers"
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (ICIIS), 2015 IEEE 10th International Conference on
  • Print_ISBN
    978-1-5090-1741-6
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2015.7399040
  • Filename
    7399040