Read Driver License barcode and decode data. Reading the Driver License barcode data provides properly spelled driver identification data in a reliable and consistent manner. The success rate approaches 100%. Barcode reading is faster and more accurate than trying to read the text on the front of the license. Pdf417 barcode generator for drivers license how to create the PDF417 Barcode? If you want make bar.

If you’ve renewed your driver’s license any time in the last few years, you have likely noticed an increase in its visual complexity. Many governing bodies have made significant strides towards making forgery more difficult. The unfortunate side-effect from that positive change is that traditional recognition algorithms are more difficult with the many colors, backgrounds, holograms, and layouts.

Thankfully, new driver’s licenses also have PDF417 barcodes on them, and in North America, follow specifications laid out by the American Association of Motor Vehicle Administrators (AAMVA). These barcodes are small, error resistant, and can encode a lot of information.

This tutorial will introduce you to the classes and methods for both reading and writing AAMVA-compliant barcodes from Driver’s Licenses.

Reading AAMVA Barcodes

Since Driver’s Licenses are so broadly accepted as forms of identification, there are a wealth of opportunities for reading the information from them. We covered those concepts in an earlier white paper on Capturing Customer Information from Driver’s Licenses, so we won’t repeat them here. That paper also discussed using the PDF417 barcodes before they were regulated by AAMVA. Since then, LEADTOOLS has added a new AAMVAID class which does all the field parsing for you.

What’s the big deal? Take a look at the raw data for an AAMVA barcode:

Driver's License Barcode Format

Where’s the name? Or the birthdate? Do you need to calculate if this person is over 21 and legally allowed to make a purchase? With LEADTOOLS, you can get that kind of information in beautiful, strongly typed properties:

Writing AAMVA Barcodes

There may be fewer reasons for generating AAMVA barcodes, but every motor vehicle agency in every state or province in the United States, Canada, and Mexico needs the ability to print them on the licenses they issue. Naturally, you can’t just print any old barcode onto licenses and IDs. As with most specifications, they are hard to follow and can cause a significant development roadblock due to the R&D requirements. LEADTOOLS simplifies this in two ways: generating the AAMVA string and creating the PDF417 barcode.

First, you need to convert your customer data into a valid AAMVA string value. To aid in this process, LEADTOOLS provides the AAMVAIDBuilder class. The builder will help organize the data and output it conforming to the 2016 AAMVA CDS. Here we initialize the AAMVAIDBuilder, add some information and then use the Build function to generate the AAMVAID object:

Now that our customer’s information is correctly encoded for AAMVA, we will create the PDF417 barcode. Thanks to LEAD’s nearly three decades of experience in with raster and document imaging technologies, this process is even simpler than writing the AAMVA string despite the barcode’s greater complexity. Here we generate the BarcodeEngine, set a few options to help the proportions make AAMVA happy, and LEADTOOLS takes care of the rest. In this simple case, we simply created a blank image using the calculated bounds of the barcode:

As a check, we’ll load the image back into the Main Barcode demo like before and read the data.

Change the World! (or at least your DMV...)

credit: Giphy and Walt Disney Animation Studios

Reading is actually the easy part. Most of you on this blog are pretty keen and might've picked up on how the raw data in that string worked and thought, 'I could parse that!' As mentioned previously, the biggest catch out there is adoption. It's one thing to figure out how to parse some values from a long text string, but writing them out correctly and following the AAMVA spec is what's really holding states and countries back. LEADTOOLS makes it incredibly easy to make sure your data follows the specifications, AND can write the barcode. So get out there and code something that's so easy, even a sloth can do it!

Conclusion

LEADTOOLS has a history of staying on the forefront of document imaging and recognition technologies like OCR, Forms, Barcode, and PDF. Driver’s licenses and IDs have become far more complex, yet better regulated with the adoption of AAMVA barcodes. LEADTOOLS will stay a viable option for developers wanting to quickly and easily create software to read and write identification data stored in AAMVA barcodes.

Download the Full AAMVA Barcode Example

You can download the fully functional demo which includes the features discussed above. To run this example you will need the following:

LEADTOOLS free evaluation
Visual Studio 2010 or later
Browse to the LEADTOOLS Examples folder (e.g. C:∖LEADTOOLS 20∖Examples∖) where you can find example projects for this and many more technologies in LEADTOOLS.

Need help getting this sample up and going? Contact our support team for free technical support! For pricing or licensing questions, you can contact our sales team (sales@leadtools.com) or call us at 704-332-5532.

Last Updated on 2021-03-15

According to the Card Design Standard by AAMVA, the PDF417 two-dimensional bar code symbology is the minimum mandatory machine-readable technology that must be present on compliant driving license/identification documents. The barcode encodes key information about the cardholder, including name, date of birth, sex, eye color, height, and many others.

There are two ways to extract data from a driver license for a machine:

Using OCR technology to recognize the characters printed on an ID
Use barcode recognition technology to decode the PDF417 symbology and then parse it into human-readable formats

Generally speaking, the latter is more accurate and cost-effective than the former. In this article, we discuss how to use barcoding technology for text extraction from a driver’s license.

Extract Data from PDF417 of Driver Licenses on Mobile

Option 1: Decode PDF417 from Cameras in a Web Application

If you are looking to read a driver’s license from a camera source, please refer to the instructions in the article: How to Recognize US Driver’s License in JavaScript.

Download the full sample

Option 2: Read Driver’s Licenses in Android and iOS Native Apps

If you are looking to read a driver’s license in a native app, please refer to the instructions in the article: How to Recognize US Driver’s License on Android Mobile Apps.

Parse PDF417 Results into a Human-readable Format

After the PDF417 value is decoded, we can then parse it into separate fields.

Drivers License Barcode Generator

Read PDF417 from Scanners

If the driver’s license is copied on paper, you can digitalize it from a document scanner using Dynamic Web TWAIN first.

Texas Drivers License Barcode Format

To see how this works, you can give it a try at the demo here.

Please note that this demo also features document scanning, which is powered by Dynamsoft’s Web TWAIN SDK.

Try Dynamsoft Barcode Reader

If you’re at the stage where you’re testing different options, try Dynamsoft Barcode Reader online demo or download a 30-day free trial. There’s no commitment necessary.