An Investigation Into the Application of Anomaly Detection and the Meijering Filter in the eKYC Process to Detect Recaptured Identity Documents

As financial institutions move to offer more digital based services, the need for secure and accurate eKYC services increases. Identity documents submitted during the eKYC process are fundamental to establish the identity of customers. The ability of bad actors to modify identity documents using digital imaging software opens these eKYC services to new threats, resulting in identity theft and reputational damage. In this exploratory research we apply auto-encoder/decoder anomaly detection to the domain of recaptured identity document detection, using the Meijering filter as the feature extraction mechanism.