Implementation of Multi-Model Biometrics Fusion Architecture for Authentication Using NN Tool

Authors

  • Anil Kumar CSE, HCTM
  • Balraj Research Scholars, CSE,NIILM,CSE, ASRA college of engg., Sangrur
  • Pankaj Kumar verma -

Keywords:

Multi-Model biometrics, Face, Fingerprint, MSE, PSNR, CCR

Abstract

Biometric As we know that fingerprint authentication for individual identification is a popular method of
biometric system, but if we combine two or more biometric techniques then the security can be increased. Here we have
used a multi-model biometric for authentication and recognition of an individual using neural network and Support
Vector Machine. To overcome the security issues, my proposed approach is to combine the face recognition method and
the fingerprint method of biometric system. Firstly the face from the first object will be detected then the second
fingerprint object will be loaded. Secondly both the detected face and the fingerprint object image will be merged using
fusion techniques and then further processing will extract their features for matching process. The last step is to classify
and recognize using combined NN and SVM techniques to increase the accuracy, security and to enhance the
performance over previous technique (Individually NN and SVM) will be increased compared to previous work results.

Published

2015-07-25

How to Cite

Anil Kumar, Balraj, & Pankaj Kumar verma. (2015). Implementation of Multi-Model Biometrics Fusion Architecture for Authentication Using NN Tool. International Journal of Advance Engineering and Research Development (IJAERD), 2(7), 63–70. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/948