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Online Credit System using Face Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 31 |
| Year of Publication: 2020 |
| Authors: Vaibhav Ambasta, Rakshith S. M., Tenzin Kunsang, Aashish Badami, Umadevi V., Muzammil Hussain |
10.5120/ijca2020920335
|
Vaibhav Ambasta, Rakshith S. M., Tenzin Kunsang, Aashish Badami, Umadevi V., Muzammil Hussain . Online Credit System using Face Recognition. International Journal of Computer Applications. 176, 31 ( Jun 2020), 17-21. DOI=10.5120/ijca2020920335
Abstract
This paper proposes a credit system employing face recognition that will enable payment transaction process faster than existing systems. Supermarkets are often slow when processing payments. For example, the customer will have to provide his/her card and then enter the pin number details to the card swiping machine. The work described in this paper aims to simplify the payment processing interface, with minimum user interference, and ensuring a fast payment checkout. Deep learning techniques have been deployed in the proposed architecture, largely composed of convolutional neural networks. All that is required to process a payment transaction is the customer’s face image, and nothing else. The customer’s face, once recognized, will enable the system to fetch his bank account details and allow the transaction to proceed by debiting the required amount from his/her bank account linked to the payment system. The face recognition model described in this paper has a 100% accuracy in predicting the correct output. The focus of this work is to recognize customer’s face for online payment.
References
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