Secured Amount Transaction System Based On Facial Recognition Using Open CV

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Geetha S. K., Jaipriya P., Adhiswarnalakshmi P., Ashwanthkumar A.

Abstract

Cash Less Transaction plays a vital role in this era. There are various methods to transfer money, purchase goods, pay bills and there are many supported apps and website to do such Transaction either by contact or contact less amount transfer. Credit card, QR Scan, Debit card Transactions plays vital role but we tend to miss the Card or Forget the PIN or may tend to Lost the cards. But In case of Online transaction or contactless transaction digital fraudulent and hackers make such Transaction difficult by phishing, card cloning, OTP bypass and fishing. Hence to secure and to protect the Transaction we propose an idea to make such amount transaction easier, secured and more compatible through Facial Recognition System. As Face plays an important role in security where it is highly difficult to spoof and provide a fast and accurate matches by considering various factors such as location of eyes, eyebrows, ears, nose, chin and mouth. SoIn this paper we propose an idea to transact an amount by facial recognition system which uses facial features snatched from a detecting face when transferring an amount that stores in the database and compares the mapped facial features against a database of existing known faces and attempt to transact the money only if it is matched. If not the Transaction declined and amount will be secured. Hence by this proposed system by facial Recognition we can protect the amount from Fraudulent and can secure it.

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How to Cite
Geetha S. K., Jaipriya P., Adhiswarnalakshmi P., Ashwanthkumar A. (2021). Secured Amount Transaction System Based On Facial Recognition Using Open CV. Annals of the Romanian Society for Cell Biology, 193–198. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/4274
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Articles