AWS for Industries

Tag: fraud prevention

Liveness Detection to Improve Fraud Prevention in Financial Institutions with Amazon Rekognition

Facial recognition is one of the common forms of biometrics employed across industries for fraud prevention. Fundamentally, facial recognition uses algorithms to distinguish an individual user’s unique features from those of similar faces in a “gallery” lineup. Facial biometrics are increasingly popular with financial institutions that are trying to balance between enhanced fraud prevention and a high-quality user experience. […]

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Improving fraud prevention in financial institutions by building a liveness detection architecture

Facial recognition is an important tool for identifying a person. Facial recognition systems are already popular worldwide and are used to prevent fraud, particularly in financial institutions such as banks and insurance companies. Although facial recognition systems are relatively new, counterfeiters have already developed ways to bypass them including impersonation, or with the use of […]

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