Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{197595,
author = {Darunika.A.S and Aswin.T and Raghul G and FATHIMA JINSHA PB},
title = {BIOMETRIC SPOOFING: AN EXPERIMENTAL ANALYSIS USING FINGERPRINT AUTHENTICATION},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {6410-6414},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=197595},
abstract = {Biometric authentication has become an essential component of modern digital security systems due to its reliability and convenience. Among various biometric techniques, fingerprint recognition is widely used in smartphones, banking systems, and access control mechanisms. However, the increasing reliance on this technology has exposed it to significant vulnerabilities, particularly in the form of biometric spoofing. This study examines the susceptibility of fingerprint authentication systems to low-cost spoofing techniques using gelatin and latex-based artificial fingerprints. The research adopts an experimental methodology involving the creation of high-fidelity fingerprint replicas using latex molds and gelatin mixtures. These artificial fingerprints were tested on both small-scale devices such as smartphones and large-scale high-security scanners used in institutional environments. The findings reveal that small-scale devices exhibit a high acceptance rate for spoofed fingerprints, indicating weak security mechanisms. In contrast, large-scale biometric systems demonstrate strong resistance to spoofing attempts. The study highlights the urgent need for advanced security measures such as liveness detection and multi-factor authentication. It concludes that while biometric systems offer convenience, their vulnerabilities must be addressed to ensure robust and reliable security in real-world applications.},
keywords = {Biometric Spoofing; Fingerprint Authentication; Security Vulnerability; Liveness Detection.},
month = {April},
}
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