Identification Recognition and Processing SDK Libraries
LEADTOOLS ID recognition and processing SDK technology provides .NET 6+, .NET Framework, .NET MAUI, Xamarin, C#, VB, Java, and HTML / JavaScript 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 LEADTOOLS ID Reader does not require master forms or templates. It accurately extracts text from any ID using intelligent unstructured forms processing techniques.
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!
The libraries are powered by artificial intelligence and do not need to use templates. This means that if an entity changes the layout of issued ID, your users will still be able to continue working.
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 27 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.
Related recognition libraries and components:
Easy to Integrate
LEADTOOLS handles the heavy lifting, eliminating months of R&D, while giving you the best quality and performance available. You'll be free to focus on other components of your application. Download the LEADTOOLS evaluation to streamline your development.
Identification Recognition and Processing SDK Platforms and Programming Interfaces
Operating Systems
Projects that use LEADTOOLS Identification Recognition and Processing libraries can be deployed to Windows, Android, iOS, and Web devices.
Frameworks
Developers that are leveraging these frameworks can utilize the Identification Recognition and Processing SDK: .NET 6+, .NET Framework, .NET MAUI, Xamarin, WinForms, ASP.NET, and Web Services / Web API (JSON, SOAP, REST)
Programming, Scripting, Markup
Identification Recognition and Processing code snippets and demo applications are provided for the following: C#, VB, XAML, Java, and HTML / JavaScript
Start Coding with LEADTOOLS Identification Recognition and Processing
Identification Recognition and Processing libraries as well as all LEADTOOLS Recognition, Document, Medical, Vector, and Imaging technologies for all development and target platforms, including Windows, Linux, and macOS.
Online Demo Application that include Identification Recognition and Processing SDK Libraries
ID Reader
Uses HTML5 and JavaScript to demonstrate the use of our Forms Recognition SDK libraries to extract driver's license information. These libraries find and extract text, numeric, and date information from any driver’s license or identification card using OCR and AAMVA PDF417.