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An Efficient Machine Learning Approach for Fingerprint Authentication Using Artificial Neural Networks | IEEE Conference Publication | IEEE Xplore

An Efficient Machine Learning Approach for Fingerprint Authentication Using Artificial Neural Networks


Abstract:

Fingerprint identification is a biometric technique that identifies persons by using categorization models and computations on images at the most basic level. For feature...Show More

Abstract:

Fingerprint identification is a biometric technique that identifies persons by using categorization models and computations on images at the most basic level. For feature extraction, a fingerprint detection framework that employs a number of image pre-processing methods as well as a variety of image locality bifurcations is described and assessed. For classification, an Artificial Neural Network (ANN) is suggested. This paper introduces the Gabor filterfor feature extraction and the ANN machine learning method for classification. The feature vector is created by combining Gabor filtering features with machine learning techniques such as Artificial Neural Networks. Using the extracted features, a multiclass classifier was developed. The experiments in this study were conducted using the NIST Special Database 4 (NISTSD4). In addition, the confusion matrix supported these findings and the proposed approach in terms of accuracy (97.95 %) outperformed more recent Machine learning classification techniques such as Random Forest, KNN, Support Vector Machine and Decision Tree.
Date of Conference: 20-22 January 2022
Date Added to IEEE Xplore: 25 February 2022
ISBN Information:
Conference Location: Tirunelveli, India

I. Introduction

Biometrics is the physical or behavioural assessment of an individual's identity [1]. Security concerns are a major concern today and the severity and complexity of these concerns are increasing. In order to deal with personality and extortion issues, organizations, educational institutions, political and government agencies all need protection. Biometrics aims to prevent unauthorized access to critical information systems in the event of a new threat. Security programmes are implemented and updated on a regular basis in every organization, The realm of biometric recognition has become more important in our daily lives [2].

References

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