A Proposed Multi-Model Biometrics Fusion Architecture for Authentication

Authors

  • Anil Kumar CSE, HCTM
  • Balraj Research Scholars, CSE,NIILM
  • Pankaj Kumar verma CSE, ASRA College of Engg., Sangrur

Keywords:

NN, SVM, Fingerprint, Face, CCR

Abstract

Biometric is the good way to recognize and authenticate a person for his/her identification. Almost every
field is using this biometric technique, whether it is government or private sector. In present days it is good method for
enrollment and authenticates a person. Biometrics of a person can be based on physical features or behavior features of
a person. It’s totally depends on the choice of the person. For common applications the fingerprints method is a good
choice. But for more secure applications, Uni-biometric system is not sufficient. For more security multi-biometric may
be implemented. A framework needs to be developed for integrating multiple cues for making biometric system totally
foolproof. In the proposed work, i will work on Multi-model Fusion Architecture for Face and fingerprint authentication
and using NN. Later the Proposed technique will be compared with SVM to enhance the performance on the basis of
CCR, MSE and PSNR

Published

2015-07-25

How to Cite

Anil Kumar, Balraj, & Pankaj Kumar verma. (2015). A Proposed Multi-Model Biometrics Fusion Architecture for Authentication. International Journal of Advance Engineering and Research Development (IJAERD), 2(7), 77–81. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/951