Multimodal Biometric Recognition Systems based on Physiological Traits: A Systematic Mapping Study

Hind Es-Sobbahi, Mohamed Radouane, Khalid Nafil

2023

Abstract

Context: Biometric systems are fundamental to protect against identity theft and illegitimate access. However most of them are unimodal and have several drawbacks such as: noisy data, intra-class variation, inter-class similarity, non-universality and spoofing attacks. Hence, multimodal biometric recognition systems (MBRS) are increasingly in demand to overcome these limitations. Objective: This work aims to aggregate and synthesize available studies and provide a historical and geographical classification in order to guide researchers in their choices of biometric traits (BT) combinations and image processing (IP) techniques. Therefore, we conducted a Systematic Mapping Study (SMS). Method: We analysed 247 relevant articles to answer the research questions according to inclusion and exclusion criteria, namely: country, source and year of publication, BT combinations and IP techniques employed. Results: According to our results, India tops the list; iris, fingerprint and face are the most requested by researchers. Concerning IP techniques used, PCA Algorithm leads (24%), followed equally (14%) by LBP and Deep CNN. Conclusion: This SMS was produced to guide stakeholders in choosing the most relevant configuration between of BT and IP methods when designing an MBRS. Findings are interesting as they provide a detailed overview of aspects that can impact the performance of a system.

Paper Citation

in Harvard Style

Es-Sobbahi H., Radouane M. and Nafil K. (2023). Multimodal Biometric Recognition Systems based on Physiological Traits: A Systematic Mapping Study. In Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-665-1, SciTePress, pages 556-563. DOI: 10.5220/0012128600003538

in Bibtex Style

@conference{icsoft23,
author={Hind Es-Sobbahi and Mohamed Radouane and Khalid Nafil},
title={Multimodal Biometric Recognition Systems based on Physiological Traits: A Systematic Mapping Study},
booktitle={Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2023},
pages={556-563},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012128600003538},
isbn={978-989-758-665-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Multimodal Biometric Recognition Systems based on Physiological Traits: A Systematic Mapping Study
SN - 978-989-758-665-1
AU - Es-Sobbahi H.
AU - Radouane M.
AU - Nafil K.
PY - 2023
SP - 556
EP - 563
DO - 10.5220/0012128600003538
PB - SciTePress