Fingerprint Biometric Authentication Based Point of Sale Terminal

Okokpujie, Kennedy; Noma‐Osaghae, Etinosa; Okesola, Olatunji; Omoruyi, Osemwegie; Okereke, Chinonso; John, Samuel; Okokpujie, Imhade P.

doi:10.1007/978-981-13-1056-0_24

Cited by 11 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This dissimilarity is computed for respectively iteration in the training and testing dataset. The technique to calculate the likelihood variation is as shown in the (4) [39].…”

Section: Loss Functionmentioning

confidence: 99%

Comparative analysis of augmented datasets performances of age invariant face recognition models

et al. 2021

Self Cite

View full text Add to dashboard Cite

The popularity of face recognition systems has increased due to their non-invasive method of image acquisition, thus boasting the widespread applications. Face ageing is one major factor that influences the performance of face recognition algorithms. In this study, the authors present a comparative study of the two most accepted and experimented face ageing datasets (FG-Net and morph II). These datasets were used to simulate age invariant face recognition (AIFR) models. Four types of noises were added to the two face ageing datasets at the preprocessing stage. The addition of noise at the preprocessing stage served as a data augmentation technique that increased the number of sample images available for deep convolutional neural network (DCNN) experimentation, improved the proposed AIFR model and the trait aging features extraction process. The proposed AIFR models are developed with the pre-trained Inception-ResNet-v2 deep convolutional neural network architecture. On testing and comparing the models, the results revealed that FG-Net is more efficient over Morph with an accuracy of 0.15%, loss function of 71%, mean square error (MSE) of 39% and mean absolute error (MAE) of -0.63%.

show abstract

“…This dissimilarity is computed for respectively iteration in the training and testing dataset. The technique to calculate the likelihood variation is as shown in the (4) [39].…”

Section: Loss Functionmentioning

confidence: 99%

Comparative analysis of augmented datasets performances of age invariant face recognition models

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, different models and theories were used to explain consumers' technology usage. Several studies have been done to investigate the use of biometric systems as payment methods focusing on fingerprint (ChitraKiran et al, 2017; Okokpujie et al, 2018, June) and face bio‐identification (Feng et al, 2017). Overall, the studies were based on one modality of usage but it is unclear whether there are differences in the factors that affect consumers' acceptance toward biometrics focusing on the face, as an alternative payment system.…”

Section: Introductionmentioning

confidence: 99%

An empirical study of consumers' intention to use biometric facial recognition as a payment method

Moriuchi

2021

Psychology and Marketing

View full text Add to dashboard Cite

Interests in technology innovation has increased in many organizations. Collaborations among technology providers and marketers are occurring as they integrate these biometric technologies as a means of convenience and security for their consumers. Despite the benefits of integrating new technology to ease consumers' shopping experience, consumers are skeptical about using technology that requires their biometric data. Two studies were conducted to investigate the trust toward these biometric payment systems. Study 1 was conducted through a survey. The study investigated antecedents that affect consumers' trust of, attitude toward, and usage of a biometric payment system. Based on the results from Study 1, Study 2 was conducted by introducing two shopping modalities in the study. The results show that consumers would rather use a biometric payment system in stores than online. Between the two modalities, consumers' trust and attitude toward the technology have a stronger mediating role for online than in‐store toward their intention to use. In addition, self‐efficacy consistently moderates the antecedents (performance expectation and perceived risk) and their intention to use.

show abstract

“…This is because control may not be total especially in risk management processes such as change management where process failure is possible. Detective control is therefore required to identify errors, irregularities or attacks after their occurrences [10,29]. Botnet detection can be classified by botmasters, bots or C&C servers.…”

Section: Detectionmentioning

confidence: 99%

Internet service providers responsibilities in botnet mitigation: a Nigerian perspective

Okesola

Adebiyi

Osi-Okeke

et al. 2020

IJECE

View full text Add to dashboard Cite

Botnet-based attack is dangerous and extremely difficult to overcome as all the primary mitigation methods are passive and limited in focus. A combine efforts of Internet Service Providers (ISPs) are better guides since they can monitor the traffic that traverse through their networks. However, ISPs are not legally banded to this role and may not view security as a primary concern. Towards understudying the involvement of ISPs in Botnet mitigation in Nigeria, this study elicited and summarized mitigation measures from scientific literatures to create a reference model which was validated by structured interview. Although, ISPs role is seen to be voluntary and poorly incentivized, the providers still take customers security very serious but concentrate more on preventive and notification measures.

show abstract

Fingerprint Biometric Authentication Based Point of Sale Terminal

Cited by 11 publications

References 11 publications

Comparative analysis of augmented datasets performances of age invariant face recognition models

Comparative analysis of augmented datasets performances of age invariant face recognition models

An empirical study of consumers' intention to use biometric facial recognition as a payment method

Internet service providers responsibilities in botnet mitigation: a Nigerian perspective

Contact Info

Product

Resources

About