Emergence of Liveness detection with OCR capabilities for onboarding new customers

A sudden surge in acceptance of digital onboarding was observed during 2020. But over 90% of customers think that companies “could do better” when it comes to onboarding new customers. Either enterprises collect a lot of information to ensure that onboarding customer is authentic, but this leads to high dropouts or if they collect less information to maintain user experience, they jeopardize their security. While enterprises want to convert maximum users, it is equally important to filter out the fraudsters with more reliable methods of authentication. This new reality makes the onboarding of new customers a riskier affair. The key is balancing between security and user experience.

Initially, the onboarding process began with people filling forms digitally and then the information being counter checked manually at the backend. This incurred huge cost to the company also increasing the possibility of errors. In this process time taken was high since every form was checked manually.  That is why many modern companies adopted online identity verification solutions that requires the user to capture a picture of their government-issued ID document (e.g., driver’s license or passport). But, if the ID was lost or stolen, then fraudsters can still create fake accounts using legitimate IDs. One of the largest bike rental company in India, faced this problem, where people used to onboard by morphing their picture on stolen ID cards to get access to free services.  This means companies must go further to establish the identity of new users.

Then came identity verification with liveness detection and OCR capabilities.  A camera clicks more than memories now! With IDcentrals digital onboarding system, all one needs to do is take a selfie. Then the process of authentication would involve two steps.

1. The liveness detection functionality by IDcentral detects a spoof attempt by determining whether the source of a biometric sample is a live human being or a fake representation. This is accomplished through algorithms, that analyze data collected from cameras to determine if the source is live.

2. Our OCR process then compares the selfie to the picture in the government ID database.

Only after passing these 2 authentication processes, a customer gets onboarded. This process is:

According to a recent report, account take over (ATO) fraud has increased by 282% and identity thefts are taking place every two seconds. Considering the emerging online fraud and account takeover landscape, businesses need to stay at the forefront of fraud detection and adapt newer systems. Idcentral’s online identity verification that leverages biometrics and liveness detection, significantly reduces fraud and cyber-attacks.

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