Selfie verification has revolutionized the process of face verification by introducing a user-friendly approach. It provides the leverage of mobile devices, unlike other authentication procedures that require specialized, complex software. Users can easily validate their identity by submitting the selfie which serves as a biometric verification system. This approach has not only made the process easy but also enhanced the security by integrating liveness detection. Liveness detection helps ensure the live presence of the individuals during online face verification. Overall, it has significantly improved the user experience while maintaining security and identity fraud prevention.
Investment in Identity Verification
Between 2017 and 2027, the amount of money spent globally on identity verification is expected to increase a lot, from about $4.93 billion to over $18 billion. Identity verification is really important for keeping information safe. It makes sure that only the right people who should have access to certain information can actually get to it. This helps stop bad or sneaky people from getting into protected information and causing trouble.
A Quick Overview of Selfie Verification
Selfie verification is an advanced technology that authenticates an individual’s identity through a smartphone camera by submitting a selfie. On the system backend, face recognition technology executes this process by analyzing the person’s facial features to confirm the identity. On the other hand, liveness detection ensures that the process interacts with the live person rather than a static one. Selfie detection and face liveness verification work coherently to provide a fast authentication process.
Working Mechanism of Selfie Verification – A Progressive Approach
Selfie verification helps in identity authentication depending on the requirements of the businesses that operate in digital systems. For instance, if a user works in high-risk industries that follow intense regulatory measures such as AML and KYC requirements; it would be compulsory to submit a selfie to create accounts in the working process.
Alternatively, one might opt for selfie verification only in scenarios where there’s a greater risk of fraud. This could be due to user actions or discrepancies in passive signals from their device, such as their IP address not aligning with their residential address. This strategy, known as progressive risk segmentation or dynamic risk segmentation, aids in establishing a robust verification process while reducing unnecessary obstacles for users.
The working mechanism of selfie verification can be done in four steps, which are explained as follows:
- The user clicks and submits the photo of their identity card issued by the government officials, such as a passport, driving license, and mobile driver’s license (mDL).
- The credentials from the ID are double-checked against authentic databases and other information supplied by the user to check for any inconsistencies.
- To authenticate the user’s identity, it is asked to click a selfie and submit a selfie on the system for further validation.
- The submitted selfie and video by the user is analyzed by liveness detection technique and cross-checked against the image present on the identity card.
Impact of Liveness Detection in Selfie Verification Method
Face liveness detection plays an important role in selfie verification by ensuring the authenticity of the person being verified. This technology is designed to differentiate between a live person and a static image or video, thereby reducing the risk of fraudulent attempts to bypass identity verification systems.
The role of face liveness detection can be explained as follows:
- Face liveness detection helps in preventing fraud by verifying that an authentic person is present during the verification process. It ensures that the individual is physically interacting with the device and not using a photo or pre-recorded video to trick the system.
- By adding an extra layer of security, face liveness detection strengthens the overall verification process. It mitigates the risk of identity theft and impersonation, protecting sensitive information and resources.
- Face liveness detection improves the user experience by offering a seamless and convenient verification process. Users can complete the verification quickly without compromising security, leading to higher satisfaction and adoption rates.
- In industries where regulatory compliance is critical, such as finance and healthcare, face liveness detection helps organizations meet stringent requirements for identity verification. It ensures that KYC (Know Your Customer) and AML (Anti-Money Laundering) standards are upheld.
- In addition to preventing fraud during the initial verification process, face liveness detection also helps detect suspicious activities or attempts at fraud. Any anomalies or inconsistencies in facial movements or interactions can trigger alerts for further investigation.
Final Verdict
In this world of digitization, users are utilizing online applications in their daily activities of financial transactions, account creation, and investment. These digital applications always require verification to authenticate their users. In this fast-paced world, selfie verification is proven as the ultimate solution for fast authentication. It validates the individual identity in the minimum time with the liveness detection technique and provides a secure environment for businesses.
