Biometric verification is a security process that uses unique biological characteristics to help confirm the identity of a person.
The process offers advantages over traditional identification methods, such as passwords or ID cards, because biometric traits are difficult to replicate or steal. Biometrics also can be convenient and efficient because people don’t have to remember passwords or carry physical tokens.
But biometric verification also requires strict adherence to privacy, use and storage standards. Transparency and user consent are crucial to the process.
The Biometric Verification Process
Biometric verification relies on capturing and analyzing biometric data. That can be done by using identity documents as a reference and a live selfie as biometric capture to enable quick, accurate remote onboarding.
The process typically involves the following steps.
During verification, the person’s biometric image information is captured using a camera.
The captured biometric data is processed to extract the unique features or patterns relevant for identification. That involves converting the raw data into a mathematical representation, often referred to as a biometric template.
The biometric template is then compared to the document’s image. If there is a match, the individual’s identity is confirmed.
Biometrics for Remote Identity Proofing
It’s vital to understand the various trade-offs among security, risk, accuracy, customer experience and cost when implementing biometric verification for compliance and fraud prevention. A risk-based approach to remote identity verification, paired with the right technology, can help organizations strike the right balance among those factors by setting risk thresholds for different use cases and regions around the world.
Image-capture is a key element of that technology when verifying identity documents and biometrics. A sophisticated software-development kit can optimize that process, but real-world environments still could include poor lighting, older mobile devices or user error.
Sophisticated artificial intelligence (AI) and machine learning (ML) can help organizations overcome those challenges by automating the remote verification process. That technology applies algorithms that determine accuracy and reliability and help organizations comply with regulations, privacy laws and ethical standards.
When that technology operates smoothly, it can have a significant effect on the customer onboarding experience as well as conversion, abandonment and fraud rates. How fast is the experience? How many transactions are verified automatically versus manually? How many good customers are unnecessarily slowed down or rejected? How many fraudsters gain access?
How to Choose a Biometric Verification Partner
Biometric verification systems require advanced software development, integration, data science and user interface capabilities.
Biometric verification also needs the agility to quickly adjust to emerging fraud attacks and evolving regulations around the world. That often requires large data sets to optimize AI and ML models and keep pace with shifting markets.
Beyond technology, expertise in local markets helps drive performance. Partners that understand different market audiences and regulations can help organizations enhance customer onboarding, compliance and fraud prevention.
It’s also critical that a partner knows how to layer biometrics in onboarding workflows so the technology works in harmony with other verification methods. A 2023 Liminal study found companies rely on an average of eight to 12 vendor integrations per use case. If those systems don’t work together, it can have a major effect on cost, conversions and risk mitigation.
Biometric verification is a powerful technology for companies that operate in multiple markets and require remote identity proofing. With a trusted verification partner that understands the complex regulatory environment around biometrics, organizations can position themselves to expand confidently anywhere in the world.
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