A Model for Biometric Selection in Public Services Sector

Mapula Elisa Maeko, Dustin van der Haar

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


The need to authenticate people using their biometric attributes and tighten information security in organisations significantly increased over the years and public services are no exception. Selecting suitable, robust, relevant and beneficial multimodal biometric attributes in public services environment for person authentication and access control is essential. The major challenge is deploying the wrong multimodal biometric technology in the organisation, which results in failed system deployment. Artificial intelligence (AI) has the potential to significantly drive the adoption and deployment of multimodal biometric authentication in public services. The study recommends a multimodal biometrics selection model for authentication to prevent fraudulent and invalid documents for identification. This study focuses on the human factor elements of public awareness, acceptance, perception and usability relevant to multimodal biometric deployment success. The formalised model proposed in the study could be of value to public services that need to deploy multimodal biometric authentication technologies, thereby minimising future failed deployments.

Original languageEnglish
Title of host publicationArtificial Intelligence Research - Third Southern African Conference, SACAIR 2022, Proceedings
EditorsAnban Pillay, Edgar Jembere, Aurona Gerber
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783031223204
Publication statusPublished - 2022
Event3rd Southern African Conference on Artificial Intelligence Research, SACAIR 2022 - Stellenbosch, South Africa
Duration: 5 Dec 20229 Dec 2022

Publication series

NameCommunications in Computer and Information Science
Volume1734 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference3rd Southern African Conference on Artificial Intelligence Research, SACAIR 2022
Country/TerritorySouth Africa


  • Acceptance
  • Artificial intelligence
  • Deployment
  • Multimodal biometrics
  • Usability

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics


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