Biometric Payments Explained: How Fingerprint & Face ID Are Changing Checkout

At a J.P. Morgan café in New York, customers can pay by smiling at a camera, using just a face scan. Curious to know how?

Today, digital payments are using biometric data for identity verification. Biometric payments are catching on as the most secure and quick transaction method. Fingerprint, face ID, and even palm vein recognition are systems that let customers make payments.

Here, we will discuss biometrics, the impact of biometric payment systems, their pros and cons, and how your business can adopt them successfully.

Biometrics payments are digital transactions that use biological identifiers for authentication purposes. They use features like fingerprints, voiceprints, and face ID to verify the identity of a customer and complete a purchase at a sale terminal or kiosk.

Biometric payment systems offer a secure way of making digital transactions. By using unique biological features, they are able to identify a customer accurately and allow payments to proceed. These systems are more convenient than traditional alternatives that use physical cards, passwords, and PINS for payments.

Let’s look at some real-world examples:

• An example biometric payment system in India uses biometric scans linked to Aadhaar or UPI ID for making transactions.

• The Mastercard Biometric Checkout authenticates customers using facial or palm scans for making biometrics payments.

• Visa Biometric Authentication uses fingerprint and Face ID.

• Apple Pay, Samsung Pay, and Google Wallet use Face ID and Touch ID for authenticating their transactions.

• In Japan, Hitachi’s VeinID system uses finger vein recognition at ATMs and POS terminals to provide a highly secure form of authentication.

• In the U.S., J.P. Morgan’s “Pay By Smile” allows customers to complete transactions simply by smiling at a camera. It uses Face ID as well.

As an example, we’ll look at fingerprint-based payment systems:

1. A customer signs up for a biometric payment program. They provide their identification and bank account information.
2. The customer scans their fingerprint at a store kiosk, using a finger scan reader.
3. This information is encrypted and stored in a centralized data repository.
4. The customer can use biometric payment as an option at a point-of-sale device.
5. When the customer scans their finger for making a payment, an electronic reader will compare the new scan with the data in the repository. If it matches, the funds will be transferred from the customer’s account to the merchant’s account.

Many types of biometric payments are in use today. Fingerprints, signatures, and facial recognition methods are the more common examples; iris and voice recognition are gaining more popularity, and vein scanning has been more recently developed.

Fingerprint recognition

Fingerprint scanning is the most widely accepted form of biometric payment methods. A fingerprint scanner captures the unique patterns in a fingerprint and matches it against stored data. This biometric method is found in smartphones and payment terminals.

Example: Similar to fingerprint recognition, Amazon One palm payments use the entire palm signature to verify identity when making a payment.

Facial recognition

Facial recognition analyzes facial features, like the length of a nose bridge or the distance between the eyes, and authenticates payments. It is another standard biometric verification method, frequently used in mobile payment apps. Face ID has to be sensitive for liveness detection, which makes sure that a real person is providing the facial input, and not a photo or a video.

Example: Apple face ID is used for transactions made through Apple Pay.

Iris or retina recognition

Iris and retina recognition detect unique patterns of the eyes. Because it uses higher-end technology and has specific requirements for good lighting and image-capture distance, it is less common in everyday payment methods. Banking apps and ATMs are sectors that are more commonly adopting iris and retina recognition.

Example: Iris scanners have been integrated into ATMs in some countries for making withdrawals.

Voice recognition

Like other biometric methods, voice recognition looks for distinct features and patterns of speech, like pitch and tone, for authenticating payments. Smart voice-based assistants tend to use voice recognition.

Example: Some banks use voice recognition in phone banking to authenticate transactions.

Vein recognition

Another biometric payment type uses palm veins for identity verification. Customers hold their palms near a sensor that captures an image of their vein patterns.

Example: Amazon One also offers vein scanning for making payments in California.

Signature recognition

Signature recognition uses algorithms for analyzing the pressure, speed, and stroke order of a digital signature. It’s less common, but used in some banking transactions and point-of-sale (POS) systems.

Example: Banks and financial institutions use signature analysis for verifying the identity of their customers.

Biometric payment systems use different combinations of identification tools, scanners, hardware, and software to work correctly. Let’s discuss them in this section.

Biometric identifiers

A biometric system will be tailored and designed for a specific identifier. This identifier can be a fingerprint, voiceprint, iris pattern, or others. It is the core element that is used for identity verification.

Scanners

The biometric identifier has to be captured by specialized scanners, like iris scanners or fingerprint scanners. These are capture devices built into smartphones, ATMs, contactless POS terminals, or any payment platform that uses biometric identification. They generate the data that will be used for matching in later steps.

Biometric cards

Some payment cards have fingerprint sensors built in. For example, EMV cards that use biometrics can be used for tap-and-pay transactions.

Hardware

Biometric payments require a lot of supporting infrastructure, which varies depending on the verification method. Edge devices like smartphones, contactless POS terminals, and facial recognition cameras are some examples of specialized hardware used for these types of transactions.

Algorithms

All biometric systems have advanced algorithms for generating, processing, and matching biometric data. Without these algorithms, the biometric verification process would not be as reliable.

Secure servers

Biometrics hold sensitive data. Protecting it is of utmost importance. These payment systems securely store private data on servers or within payment processors.

The data is protected through multiple layers of cybersecurity tools and compliance with standards like the FIDO2 (passwordless authentication) and PSD2 (customer authentication regulations).

Biometric payments have been on the rise because of the many benefits they can offer. They reduce the need for PINs and passwords, let customers make payments with no contact, at lower costs, and with higher security. The impact of biometric payment systems extends across convenience and customer experience, making them very popular today.

Security

The greatest strength of biometric payments is in their security. Because biometrics use unique data that cannot be stolen or replicated (as is the case for passwords and PINs), they are considered more secure.

Biometric payment systems have many cybersecurity measures in place to reinforce this. Tokenization and data encryption protect payment information. Many of these platforms use AI & machine learning in fraud detection. They’re also obliged to comply with security regulations like the PCI DSS and the PSD2.

Convenience

The users of biometric payment systems also do not need to worry about losing their payment cards. Their identity can be verified quickly, and they can make their payments in the blink of an eye.

Contactless transactions

Many biometric payment types are completely contactless, like vein and facial recognition. In the post-pandemic world, this hygiene and safety is very valuable.

Lower costs

Fraud-related losses and chargeback costs can quickly add up. When a business adopts biometric systems, it can cut down on such expenses.

Customer experience

The customers who use biometric systems can enjoy its speed and simplicity. Businesses can build customer trust and provide more personalized payment experiences through biometric payments.

Biometric payments are more secure, efficient, and convenient, as compared with traditional payment methods that use cards, PINs, and passwords. We’ve summarized the comparison in a table here:

Despite obvious benefits, the adoption of newer biometric payment systems has been a slow process. In the next section, we’ll look at why that is.

Like all up-and-coming technologies, biometrics payments are adopted with a side of caution. Financial institutions, businesses, and consumers have concerns about the privacy of such systems, the costs of adopting them, spoofing, accessibility, and the risks of data breaches, which are affecting their acceptance.

Costs

Although biometric payment systems cut down on fraud and chargeback-related costs, setting them up can be expensive. Businesses need scanners, contactless POS terminals that have biometric capabilities, secure servers to store data, and the ongoing maintenance for all this hardware. For smaller retailers, this can be a significant barrier to entry.

Privacy

For a consumer, giving away data on their fingerprint or facial features can be risky. They might have privacy concerns about the misuse or compromise of this data.

Data breaches

Biometric system databases are targets for identity theft and hacking, even with strong security measures in place. The leak of a person’s biometric data can be more consequential than with a stolen card or a lost password.

Biometric spoofing

Replicating biometric data is a challenging task, but not impossible. Biometric spoofing is a newer risk, where hackers use fake biometric traits like 3D facial models and recorded voices to break into payment systems.

Accessibility

Physical disabilities can make it harder to use biometric payment systems. The designers and adopters of biometric payments have to make a proactive effort for inclusivity.

Lack of acceptance

Biometric systems have not been adopted universally. Consumers are hesitant to share their biometric data, while others prefer the convenience of familiar, traditional payment types.

If you are a business adopting biometric payment systems, following compliance, integration, and education best practices can help you avoid risks and penalties. To adopt biometric payments successfully, keep the following points in mind:

Compliance

Compliance and security are the first considerations for any digital payment method. Payment and biometric data needs to be kept safe. When you’re adopting a biometric payment system, make sure that you are staying compliant with data protection laws and best security practices.

Always choose a system with strong encryption and tokenization features. Any biometric payment system in India has to comply with the Personal Data Protection Bill. Globally, businesses need to align with the GDPR and the CCPA. This also extends to frameworks like the PSD2, which controls customer authentication in the EU, and the FIDO2, which governs standards for cryptographic authentication.

Integrations

Ensure that the biometric payment systems you choose integrate into existing tools and platforms. That means the system should be compatible with your payment gateways (Stripe, Adyen, Square), contactless POS terminals, ERP tools, accounting software, etc.

The objective is to keep all your data consolidated, secured, and actively monitored.

Education

A foundational step in adopting biometric payments is to keep all the parties involved educated and informed.

For a business, it is important to educate both the employees and customers about how biometric payments work, how they process and protect data, and how they can be beneficial. Without this initiative, you can lose out on potential customers, or risk mishandling of biometric hardware by staff.

In the future, biometric payments for digital identity verification will be accepted by a larger user base. There will be more payment methods, used in different combinations, with new technologies. More regulatory pressure will follow suit.

New payment options

Newer biometric payment types will likely be more accessible and accepted. Palm vein pattern recognition and heartbeat recognition are some newer biometric modalities in the market. In the future, multi-modal biometrics will combine different identifiers like fingerprints and voiceprints for verification.

New technologies

Biometric systems are expected to keep up with technological trends. Blockchain tech will be integrated to make payments more secure and decentralized. The use of AI & machine learning in fraud detection is already on the rise.These tech tools are expected to make identity verification more accurate in the future.

New regulatory standards

Financial regulatory authorities will have to keep pace with evolving biometric payments. These regulations are expected to tighten. Standards for biometric payments will be adopted globally to support cross-border transactions.

Biometric payments can authenticate users, but your business needs a strong payment infrastructure that supports them. To provide fast and secure transactions, across borders, consider using a payment partner like Xflow.

Xflow is a state-of-the-art payment platform that handles all your international transaction needs. With Xflow, you get:

• The lowest FX rates calculated using the mid-market rate
• Unlimited transactions at affordable and transparent price points
• Payment settlement within a single business day
• API-based integrations for your biometric payment partners, accounting platforms, ERP tools, and more
• Support by major banks, compliance with regulatory frameworks, and ISO 27001 and SOC 2 certifications to protect your financial and payment data
• Dedicated onboarding and support from experts, as and when you need it.