The Benefits of Implementation of Biometric Attendance System

Mir, G. M.; Balkhi, Altaf A; Lala, Nisar A.; Sofi, N A; Kirmani, Mudasir M; Mir, Itifaq A; Hamid, Hisyam

doi:10.13005/ojcst11.01.09

Cited by 11 publications

(13 citation statements)

References 6 publications

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“…The proposed system uses face and voice recognition to access cloud services so students can access the web-based examination. Mir et al [46] designed a novel framework for multimodal systems. The system utilized face and fingerprint images with block-based and feature-image matrices.…”

Section: Multimodal Biometric Technologymentioning

confidence: 99%

IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

2023

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Traditional identity verification of students based on the human proctoring approach can cause a scam identity verification and ineffective processing time, particularly among vast groups of students. Most student identification cards are outdated personal information. Several biometric recognition approaches have been proposed and can be adopted to strengthen students' identity verification. Most educational adoption technology struggles with evaluation and validation techniques to ensure that biometric recognition systems are unquestionably suitable for utilization and implementation to fulfill student identity verification. This study presents the internet of things to develop flexible biometric recognition systems and an approach to assess the quality of biometric systems for educational use by investigating the effectiveness of identity verification of various biometric recognition technologies compared to the traditional verification method. The unimodal, multimodal, and semi-multimodal biometric technologies were tested using the developed internet of things-base biometric recognition systems examined by applying the proposed quality metrics of scoring factors based on accuracy, error rate, processing time, and cost. Hundreds of undergraduate exam takers were a sample group. Key findings indicate that the designed and presented systems suitably attain identity verification of exam students using a unimodal biometric. A unimodal face biometric system promises excellent support. A unimodal fingerprint biometric system assures the second excellent aid for student identity verification. However, multimodal and semi-multimodal biometric systems provide better accuracy with few handling times and higher costs. This study contributes significantly to the knowledge of utilizing biometric recognition for identity verification in smart educational use.

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Section: Multimodal Biometric Technologymentioning

confidence: 99%

IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

2023

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“…Traditional workplaces [8] use fingerprint biometric systems to identify personnel, grant authorized access to offices, and maintain accurate records of staff attendance [1,7,9].…”

Section: Employee Time and Attendance Systemsmentioning

confidence: 99%

Fingerprint Biometric System Hygiene and the Risk of COVID-19 Transmission (Preprint)

Okereafor¹,

Ekong²,

Markson³

et al. 2020

Preprint

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UNSTRUCTURED Biometric systems verify humans using scanners to measure the patterns of their behavioural or physiological characteristics. While contactless biometric scanners like facial recognition obtain facial pattern measurements without direct touch, contact-based biometric scanners such as fingerprint verification systems require physical contact as part of the process of obtaining the biometric sample needed for recognition. The process requires the user to directly place the thumb on the scanner in a certain manner for a specified duration in order for the biometric pattern to be properly read and measured. The direct placement of the thumb on the scanner surface could potentially increase the chances of contamination with harmful microorganisms including pathogens, fungi, bacteria, and viruses, cross contamination of hands of subsequent users with unintentional transfer to food and water, as well as direct inoculation into the respiratory tract thereby triggering infectious diseases. This paper, a viewpoint on the transmissibility of infectious diseases through touch-based fingerprint biometric device, proposes hygienic measures to curbing the spread of infectious diseases including the novel coronavirus disease (COVID-19).

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“…The primary purpose of fingerprint recognition or identification systems is to provide trustworthy verification of users to control access to resources such as computers as well as to critical facilities such as offices and hospitals. These systems also provide useful data for generating summary periodic reports on usage statistics [1], including the number of participants inside a facility, frequency of entrances and exits, duration of stay, and other intelligence required for monitoring, surveillance, and security administration.…”

Section: Introductionmentioning

confidence: 99%

Fingerprint Biometric System Hygiene and the Risk of COVID-19 Transmission

Okereafor¹,

Ekong²,

Markson³

et al. 2020

JMIR Biomed Eng

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Biometric systems use scanners to verify the identity of human beings by measuring the patterns of their behavioral or physiological characteristics. Some biometric systems are contactless and do not require direct touch to perform these measurements; others, such as fingerprint verification systems, require the user to make direct physical contact with the scanner for a specified duration for the biometric pattern of the user to be properly read and measured. This may increase the possibility of contamination with harmful microbial pathogens or of cross-contamination of food and water by subsequent users. Physical contact also increases the likelihood of inoculation of harmful microbial pathogens into the respiratory tract, thereby triggering infectious diseases. In this viewpoint, we establish the likelihood of infectious disease transmission through touch-based fingerprint biometric devices and discuss control measures to curb the spread of infectious diseases, including COVID-19.

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The Benefits of Implementation of Biometric Attendance System

Cited by 11 publications

References 6 publications

IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

Fingerprint Biometric System Hygiene and the Risk of COVID-19 Transmission (Preprint)

Fingerprint Biometric System Hygiene and the Risk of COVID-19 Transmission

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