Driver’s License Verification: How to Build an Effective Workflow

Asking for a driver’s license is one of the most common ways to verify someone’s identity or age. Unfortunately, it’s also a common target for counterfeiting, alteration, and identity misuse.

The right method of driver’s license verification depends on the type of license you accept, the channel you verify it in, and the level of assurance your workflow requires.

Let’s walk through the main driver’s license types, what is needed for their verification, and how to implement an effective process for on-site and remote scenarios.

Driver’s license verification is used in a range of business and government workflows. Depending on the scenario, the goal may be to confirm that a person is allowed to drive, verify age, or support an identity check.

Common use cases include:

• Roadside and law enforcement checks, where police or transport authorities need to confirm that a license is valid and matches the driving privileges claimed.

• Driving-related checks, such as car rental, fleet onboarding, delivery platforms, and ride-hailing.

• Age verification for alcohol sales, vaping, gambling, and other age-restricted services.

Supporting identity verification, where a driver’s license is accepted as one element of a broader identity-checking process.

The first implementation decision is simple: what kinds of driver’s licenses do you need to support? That matters because each type enables a different level of verification. 

By “types,” we mean the technology and process used to issue a document. It shouldn’t be confused with classes or categories, which refer to the kinds of vehicles a person is licensed to drive. 

The type will define the verification method. Currently, there are three types of driver’s licenses in circulation:

• Traditional physical driver’s licenses

• Electronic driver’s licenses

• Digital driver’s licenses or mobile driver’s licenses

Let’s see each of them and their verification methods in detail.

Most often, physical driver’s licenses come as photo cards, which are basically plastic cards with the holder's photo and personal details. Paper-printed licenses, while increasingly rare, are still in circulation in European countries, as well as Brazil, Chile, Hong Kong, and others.

The main challenge for verification of physical driver’s licenses is the absence of chip-backed cryptographic proof, so verification relies heavily on physical and optical checks.

The ideal on-site verification scenario involves physical examination with the help of special document readers to confirm authenticity. These devices allow you to inspect the document under UV or other light sources to reveal hidden security features unseen by the naked eye.

In remote scenarios, you need to make sure your solution can verify document liveness, including the presence of dynamic security features such as OVI, MLI, or holograms. This is the best workaround available now to ensure that the user submits an actual document, not a manipulated scan.

Key steps include:

• Checking the visual resemblance of the portrait in a driver’s license and its presenter to make sure it really belongs to that person;

• Confirming the document is valid upon presentation;

• Checking for security features like barcodes, holograms, watermarks, microprinting, and others;

• Reading data from barcodes, magnetic strips, and machine-readable zones;

• If possible, inspecting the document under UV or other light sources to reveal hidden security features.

Electronic driver’s licenses are physical documents with an embedded electronic NFC chip similar to those found in modern passports. The chip stores all personal information in electronic form, as well as biometric information like fingerprints. All the information is protected by an electronic signature.

At the moment, few countries actively use electronic driver’s licenses. Among them are the Netherlands, Egypt, Mongolia, and Tajikistan.

Verification of electronic driver’s licenses involves both traditional methods — just as with physical driver’s licenses — and chip authentication. The latter includes two things:

• Reading chip data: Accessing and comparing personal data from a chip (including biometrics) with other sources in a document.

• Chip authentication: Verifying the integrity of the chip, its data, and the validity of signing certificates.

From the user’s perspective, chip verification is almost unnoticeable. They just scan the document with an ID document reader or NFC-enabled smartphone just like they would do with a traditional document. 

On the technical side, the device sends a radio signal to the chip to activate it. Then, the chip “replies” with the requested information. It takes seconds, and you can see the results via the application you use.

A digital driver’s license (dDL) or a mobile driver’s license (mDL) both refer to a secure version of a driver's license on a user’s smartphone. The terms are sometimes used as synonyms, but in fact, they aren’t the same thing.

Digital driver’s licenses are more like digital copies of physical documents rather than full-fledged alternatives. They replicate the physical card’s details and may include additional features such as real-time updates.

Mobile driver’s licenses are a type of digital ID. They come as mobile apps that replace a physical document that's no longer being issued. In 2021, the International Standard Organization released ISO 18013-5, the standard for the mobile driving license. Given this fact, the chances are that mDLs will completely squeeze out dDLs over time.

mDLs aren’t very widespread yet, as their implementation requires significant structural changes. Among the countries that currently issue mDLs are the US (some states) and Australia. However, these digital forms of identification are likely to become more prevalent and widely accepted with time.

The advantage of this document type is that it allows you to share only the data you choose to provide, rather than everything at once, as is the case with a regular document. For example, a bartender or cashier will not know your name or where you live when verifying your age.

Information from a mobile driver's license is verified using public key cryptography, a system that uses a pair of digital keys. The verifier engages the mDL with an mDL reader, verifies the license using its public key, and retrieves the necessary data. This data can be obtained directly from the holder’s smartphone or from the issuing authority via a server.

A driver’s license packs several types of information into a small physical or digital credential. For verification, it helps to think of these elements in four groups: personal data, document data, machine-readable data, and driving privileges.

Many of these fields can be captured automatically using Optical Character Recognition (OCR) technology, which extracts data from the document image for further checks. 

Personal data usually includes:

• Full name

• Portrait of the license holder for visual identification

• Date of birth for age verification

• Secondary photo

Document data usually includes:

• Driver’s license number

• Issue date

• Expiration date

Machine-readable data may include:

• Machine-readable zone

• Barcode

• Magnetic stripe

In the case of electronic driver’s licenses, an embedded RFID chip replicates all personal data from a visual zone, plus contains the document owner’s biometric data.

Driving privileges and restrictions show what the holder is allowed to drive and under what conditions. This may include:

• Driver’s license class or category

• Vehicle type permissions

• Restrictions or endorsements

• Category-specific validity periods

These categories and rules often vary by country. In the US, for example, some licenses have special formats or markings for drivers under 18 or under 21. In Japan, license colors can reflect driving skills: new drivers receive a license with a green stripe, while experienced drivers with a clean record for the past five years can get a gold-striped DL.

Driver’s license categories may also have specific validity periods, which can differ depending on the country and from the overall issue and expiration dates of the document itself. 

This information matters in more than identity checks alone. Rental companies may need to confirm that the customer is authorized to drive a specific vehicle. Transport operators may need to verify professional driving categories. Insurers may use license status and driving history indicators as part of risk assessment.

Driver’s license verification is complicated by the lack of a single standard layout. Designs vary from country to country, and they can also vary by state or province within one country. That’s the case in Australia, Canada, Ethiopia, India, Mexico, Micronesia, Pakistan, United Arab Emirates, United States, and Yemen. 

As a result, an effective verification system must also identify the correct document template and confirm that each field appears where and how it should for that specific driver’s license.

Implementing automated driver’s license verification starts with choosing the right setup for your environment and use case. The key questions are where the check happens, which driver’s license types you need to support, and what exactly you need to confirm — age, driving eligibility, or identity as part of a broader verification flow.

That choice shapes everything else: the capture method, the level of control over image quality, the document coverage required, the verification steps available, and the amount of manual review still required.

For on-site verification at places like police stations or banks, you’ll need document readers. These devices capture and analyze all forms of IDs, handling authentication, verification, and validation. They come in various types, including kiosks, desktop workstations, and portable handheld devices for fieldwork.

Document readers usually come with specialized software that processes the captured data. This software reduces manual work by extracting all the data, including the data from barcodes and machine-readable zones, and transferring it right into your system. Plus, it instantly verifies and cross-checks similar data from different sources, highlighting any issues.

To implement on-site driver’s license verification effectively, organizations usually need:

• document readers suited to the working environment

• software that supports the required license types and verification methods

• integration with the internal system where results are used

If you need help assessing your use cases and choosing the right setup, consult a trusted vendor. Regula’s experts have experience equipping multiple checkpoints and supporting document verification workflows across environments ranging from car rental to road police and border control.

Remote driver’s license verification is typically built into a mobile or web application. For example, Regula Document Reader SDK can be integrated with your existing mobile or web applications. It enables the app to capture and process images of driver’s licenses, verifying their authenticity and extracting the necessary data. The next time you need to verify your users’ identity or age, they can simply scan their driver’s licenses with a smartphone to proceed.

Behind the scenes, the software instantly identifies the document type, extracts all the necessary information, verifies the document, and confirms whether its presenter is eligible to use your services.

To implement remote driver’s license verification effectively, organizations usually need:

• A wide range of supported documents to handle any type of driver’s license from any country;

• Ability to validate and cross-check the data within a document;

• Document liveness verification — to make sure the user presents a real document, not any sort of scans or screenshots;

• Support of NFC chip verification to verify electronic documents;

• Support for the most popular platforms — desktop, iOS, and Android — as users should be able to submit their documents using any device they have.

Driver’s license verification becomes a different problem once volume grows. At that point, the challenge is not just checking whether a particular license looks valid, but keeping the overall process fast, consistent, and hard to fool across every touchpoint.

Ask yourself if you can confidently answer “yes” to these questions:

• Can we verify driver’s licenses quickly without turning every check into a manual review?

• Can we keep the process consistent across branches, teams, or digital flows?

• Can we catch suspicious driver’s licenses without slowing down legitimate users?

If you hesitated with any of them, the workflow probably needs a stronger foundation. 

Regula supports both on-site and remote driver’s license verification, helping teams standardize checks, reduce manual effort, and maintain fraud controls as volumes grow. If you are assessing your current setup or planning to scale it, Regula’s team can help map the right approach to your workflow.