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Evaluating the Effectiveness of Multispectral Imaging in Fingerprint Authentication

EasyChair Preprint no. 13629

14 pagesDate: June 11, 2024

Abstract

Fingerprint authentication has garnered widespread adoption due to its convenience and reliability in verifying individual identities. However, traditional fingerprint recognition systems are susceptible to spoofing attacks, where adversaries can replicate fingerprints using various means to gain unauthorized access. In response, multispectral imaging has emerged as a promising technology to enhance the security of fingerprint authentication systems.
This paper presents a comprehensive evaluation of the effectiveness of multispectral imaging in fingerprint authentication. We delve into the underlying principles of multispectral imaging, which involves capturing fingerprint images across different spectral bands, ranging from ultraviolet to infrared. By analyzing the unique spectral characteristics of skin and sub-surface features, multispectral imaging offers a robust defense against common spoofing techniques, such as artificial replicas and latent prints.

Keyphrases: Authentication, Fingerprint, multispectral image

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:13629,
  author = {Burna Boy and Thomas Micheal},
  title = {Evaluating the Effectiveness of Multispectral Imaging in Fingerprint Authentication},
  howpublished = {EasyChair Preprint no. 13629},

  year = {EasyChair, 2024}}
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