Reliability of Identification Based on Fingerprints in Dual Biometric Identification Systems

Author:

Nídlová Veronika1,Hart Jan1

Affiliation:

1. Czech University of Life Sciences Prague

Abstract

At present, the development of biometrics is a widely discussed topic. This research discusses the reliability of the most used category - identification using fingerprints. There are many of these types of systems. The most affordable, and therefore the most common alternative is one that identifies users using an optical sensor. Testing was conducted on two scanners only for fingerprints, and on two systems that recognize users via their fingerprints and also through a facial image. The conclusions from the measurements were that reliability was mainly affected by the characteristics of the scanners, in particular whether the scanner identifies only based on the fingerprint, or in combination with another biometric method. Due to the fact that with combined systems manufacturers focus only on one identification circuit – usually the most modern - and not the potentially safest, i.e. a fingerprint, the results show that it is much easier to sabotage dual biometric identification devices than those that identify solely on the basis of a fingerprint. Reliability values ​​greatly exceed the values specified by the manufacturer. The measurements show that there is a need to continuously improve dual biometric identification systems.

Publisher

Trans Tech Publications, Ltd.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recognizing Face Using the Combination of Singular Value Decomposition and Hidden Markov Model Algorithms;Lecture Notes in Electrical Engineering;2023

2. Integrated Different Fingerprint Identification and Classification Systems based Deep Learning;2022 International Conference on Computer Science and Software Engineering (CSASE);2022-03-15

3. Detailed Identification of Fingerprints Using Convolutional Neural Networks;2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA);2018-12

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