Driver's License Recognition and Processing SDK Technology

LEADTOOLS Driver's License recognition and processing SDK technology provides .NET (C# & VB), 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.

Programmers requiring unique, accurate, and efficient methods of customer data capture will find great value in LEADTOOLS Driver's License recognition. LEADTOOLS provides two ways to capture data from both sides of Driver's Licenses. For the front of the card, 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. For the back of Driver's Licenses, LEADTOOLS Barcode Recognition can be used to read and write PDF417 barcodes that follow the American Association of Motor Vehicle Administrators (AAMVA) specification.

Overview of LEADTOOLS Driver's License Recognition and Processing SDK Technology

  • Find and extract text, numeric, and date information from any driver's license or identification card:
    • Name
    • ID Number
    • Address
    • Gender
    • Race
    • Organ donor election
    • Signature
    • Date of Birth
    • Issuing Date
    • Expiration Date
  • Provides demo implementation to recognize and process unstructured ID cards (i.e., unstructured forms). No template is required
  • Finds fields with common headers such as name, address, date of birth, issuing date, expiration date, and ID number, even when the ID does not match any template
  • Includes master templates for all fifty states in the US and Washington DC: templates are easily customizable to support any country, state, or agency with standardized identification cards
  • Process, read, and write PDF417 barcodes adhering to the AAMVA specification
  • Recognize and extract driver's license fields regardless of image resolution, scale, and other image generation characteristics
  • Advanced scanned image alignment algorithm compensates for non-linear deformations introduced by different scanners, printers, and resolutions
  • World-class accuracy and speed
  • Unique color and bitonal image recognition for scanned documents and pictures
  • Automatic detection and correction of driver's license orientation and skew angle
  • Utilize camera preview on phones and tablets for real-time driver's license recognition and processing
  • Enhance recognition accuracy with powerful document cleanup and preprocessing
  • Use regular expressions to find and validate text
  • Comprehensive confidence reporting for each driver's license field type:
    • Character location, size, and baseline
    • Character attributes (end of word, end of line, end of paragraph, etc.)
    • Font properties (monospace, proportional, serif, sans-serif, bold, italic, underline, strikethrough)
    • Confidence values
  • Load and save master template identification information as XML for simplified storage and editing
  • Utilize LEADTOOLS Fast Twain to rapidly scan driving licenses and ID cards
  • Demos with source code provide complete implementation for live capture, recognition, and processing of ID cards
  • Native 32 and 64-bit driver's license recognition and processing binaries

Technology Related to Driver's License Recognition and Processing

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Documentation Links for Driver's License Recognition and Processing

White Papers Written About Driver's License Recognition and Processing

  • Capturing Customer Information from Driver's Licenses using LEADTOOLS

    A wide variety of businesses are embracing technology as a means to enhance the way customers provide their information on the front-end of the customer service process. Upon arrival at the doctor's office, car dealership, gym, or even a restaurant, customers might be handed a tablet or directed to a kiosk to check in. This is an exciting change for device manufacturers and software developers, but does it always translate to better customer service? An ideal solution would rapidly capture information from a document or form of ID customers already have on them such as a driver's license. This white paper will explore how programmers can use LEADTOOLS Driver's License Recognition or Barcode Recognition to extract identifying information from driver's licenses.

Demo Applications that Include Driver's License Recognition and Processing

HTML5/JavaScript Driver's License Reader

Uses HTML5 and JavaScript to demonstrate the use of our Forms Recognition technology to extract driver's license information.

Screenshots of Driver's License Recognition and Processing

Driver's License Recognition

Driver's License Recognition

LEADTOOLS SDK Products that Include Driver's License Recognition and Processing

LEADTOOLS Recognition v20

The LEADTOOLS Recognition Imaging SDK is a handpicked collection of LEADTOOLS SDK features designed to build end-to-end document imaging applications within enterprise-level document automation solutions that require OCR, MICR, OMR, barcode, forms recognition and processing, PDF, print capture, archival, annotation, and image viewing functionality. This powerful set of tools utilizes LEAD's award-winning image processing technology to intelligently identify document features that can be used to recognize and extract data from any type of scanned or faxed form image.

LEADTOOLS Document Imaging Suite v20

The LEADTOOLS Document Imaging Suite SDK is a comprehensive collection of LEADTOOLS SDK features designed to build end-to-end document imaging solutions that require OCR, MICR, OMR, ICR, barcode, forms recognition and processing, PDF, HTML5 Zero-footprint viewing, conversion, print, capture, archival, annotation, and image viewing functionality. This powerful set of tools utilizes LEAD's award-winning image processing technology to intelligently identify document features that can be used to recognize and extract data from any type of scanned or faxed form image.