Fingerprint Recognition using Neural Network based Hybrid Approach

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.7 · Issue 4

Published

November 2018

Access

Open Access

Licence

CC BY-NC-SA 4.0

Mayur Nagin Dongre

This paper presents a neural network (NN) architecture for a system of recognition of people through the biometric measurement of the fingerprint. In this system, a database of the fingerprint image is processed by means of morphological operations. The inputs to the neural network architecture are the processed fingerprint images and the output is the number of the person identified. This work proposes the hybridization of DWT (Discrete Wavelet Transform) and LBP (Local Binary Pattern) features of the images to train the neural network. The classification accuracy obtained with the hybrid approach on the images is 85% with a 60:40 ratio of training and testing respectively.

DWT LBP Morphological Operations Neural Network

Mayur Nagin Dongre (2018). Fingerprint Recognition using Neural Network based Hybrid Approach. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.7, Issue 4. ISSN: 2319-4863.

Copy Citation

Full references are available in the PDF version of this paper.

Download Full Paper (PDF) →

Downloads

Full Text Access

Full Paper

PDF Download

Abstract PDF

PDF Download

Article Info

LinkedIn Twitter / X WhatsApp