Estimation of Fingerprint detection and Authentication Using the Neural Network Command Line

Authors

  • Dr. Anil Kumar Associate Professor,Haryana College of Technology & Management, Kaithal, Haryana, India

Keywords:

Fingerprint, NN, SVM, MSE, PSNR, CCR

Abstract

Fingerprint authentication/identification is a good of biometric technique for identity recognition. It is good
and very important technique used in forensic research for investigation purpose. Here in my proposed work I have
implemented an algorithm for personal authentication of a person by his/her fingerprints using Neural Network and
compare it with SVM technique on the basis of CCR. Here I have considered the fingerprint of a person as an image and
after the fingerprints of many persons we have created a database for all the images. Whenever we have two check the
authenticity of a person then he/she has to scan his/her finger by a scanner. Then this input fingerprints will be matched
with the databases for matching for recognition. Because, now a fingerprint is an image, that’s why nprtool has been
used. The experiment result of this research work will achieve a good performance on these databases. After completed
all the required steps, the result shows improvements in MSE and PSNR and also perform cumulative cost results over
the SVM technique

Published

2015-07-25

How to Cite

Dr. Anil Kumar. (2015). Estimation of Fingerprint detection and Authentication Using the Neural Network Command Line. International Journal of Advance Engineering and Research Development (IJAERD), 2(7), 229–233. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/992