Computational Wrist-Print Biometric Identification System Using Discrete Cosine Transform

Kennedy Chinedu Okafor, Omowunmi Mary Longe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


Biometric Wrist Authentication (BWA) is one of the best-known authentication schemes in many access control systems. The use of fingerprint biometrics as humans attempt to communicate with robots/machines, and their physical environments have inherent setbacks. However, various efforts have been proposed to fix the limitations. Most biometric efforts suffer from lack of computational derivatives and do not support optimal image compression. Motivated by these concerns, the goal of this paper is fivefold. First, we proposed BWA using Discrete Cosine Transform (DCT) to compress palm print images and develop Wrist-Print Biometric Identification System (WPBIS). Second, we developed a process model for DCT and characterized it for wrist templates considering both original and decoded images. Third, Bits per pixel (Bpp) and Compression ratio (Cr) for a wrist template/bioscript are used as metrics for evaluation. Fourth, after adopting various timestamps, we observed that the image template Bpp yielded 1.256 Bpp and compression of 63.26% based on DCT. Fifth, we showed a typical experimental scenario with a digital signal processor feeding images with DCT. Identification and verification of various wrist-prints (test-point samples) are equally carried out. From the results, WPBIS DCT offered higher image intensity compared with Wavelet transform.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2021 - 21st International Conference, Proceedings
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria Rocha, Eufemia Tarantino, Carmelo Maria Torre
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Print)9783030870065
Publication statusPublished - 2021
Event21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online
Duration: 13 Sept 202116 Sept 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12955 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st International Conference on Computational Science and Its Applications, ICCSA 2021
CityVirtual, Online


  • Biometric access control
  • Computational science
  • Digital signal processor
  • Human-Computer Interface (HCI)

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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