Driver's License Recognition and Processing SDK Libraries
LEADTOOLS Driver's License recognition and processing SDK technology provides .NET (C#, VB, Core, Xamarin, UWP), Linux, Java, and web developers with a high-level framework to classify and extract data from driver's licenses and similar forms of identification. The state-of-the-art recognition algorithms are capable of recognizing structured and unstructured driving licenses and ID cards from any country, state, or agency.
ID Recognition Libraries Powered by Artificial Intelligence
Programmers requiring accurate and efficient methods to capture customer data will find great value in LEADTOOLS Driver's License recognition. LEADTOOLS provides two ways to capture data from both sides of Driver's Licenses.
Front of ID Card Recognition
The toolkit includes customizable master templates for all fifty states in the US and Washington DC, which will significantly jump-start development and reduce the time required to create and test licenses for their application.
Back of Driver's License Recognition
LEADTOOLS Barcode Recognition can be used to read PDF417 barcodes that follow the AAMVA specification.
Driver's License Validation
There are definitely times when it is important to validate an ID to ensure that the person is who and what they say they are. With the LEADTOOLS Driver's License recognition and processing SDK libraries, your users can check for REAL ID compliance and automatically compare the data on the front with what is stored in the PDF417 barcode on the back.
No Template is Required!
While LEADTOOLS does include templates of all 50 states, the libraries are powered by artificial intelligence and do not need to use them. This means that if a state changes the layout of their ID, your users will still be able to continue working. Additionally, your users will be able to process alternative forms of ID.
ID Reader Libraries for Any Device
Driver's licenses can be captured with TWAIN, WIA, web cams, digital camera, image files, and mobile devices. With the implementation of mobile solutions in mind, the LEADTOOLS driver's license recognition libraries include several functions specifically for mobile, such as specialized image processing to correct common deformations when taking photos of documents, including keystone effect and 3D distortions. Xamarin developers should take a look at the unique LEADTOOLS Xamarin Camera control to reduce frustration and speed development of applications targeting both Android and iOS.
Other Industry-Leading Recognition Libraries
For the past 22 years, LEAD's OCR and recognition libraries have been used by thousand of developers and millions of end-users throughout the world. The patented machine learning algorithms that drive these engines bring unparalleled accuracy, speed, and reliability to all of the LEADTOOLS recognition libraries, including the Driver's License Recognition API library.
Other recognition libraries and components include:
Easy to Integrate
LEADTOOLS handles the heavy lifting — eliminating months of R&D, while giving you the best quality and performance available. This leaves you free to focus on other components of your application. Download the evaluation and start coding to get an idea of how much more streamlined your development will be using LEADTOOLS.
Driver's License Recognition and Processing SDK Platforms and Programming Interfaces
Projects that use LEADTOOLS Driver's License Recognition and Processing libraries can be deployed to web browsers, Windows, macOS, iOS, Android, and Linux devices.
Driver's License Recognition and Processing SDK libraries are available for
Start Coding With LEADTOOLS Driver's License Recognition and Processing
Driver's License Recognition and Processing libraries for Windows, Linux, and macOS as well as all LEADTOOLS Recognition, Document, Medical, Vector, and Imaging technologies for all development and target platforms.
Online Demo Application that include Driver's License Recognition and Processing SDK Libraries