Drivers License Barcode Format
State Driver’s License Formats State License Format Alabama 1-8Numeric Alaska 1-7Numeric Arizona 1 Alpha + 8 Numeric OR 9 Numeric Arkansas 4-9Numeric California 1Alpha+7Numeric. (KUTV) As you undoubtedly know, printed on the front of a driver’s license is his or her personal information including name, age, a photo and a license number.Flip a Utah driver license over. Keys for obtaining US Driver's license data. Standard for US Driver's Licenses defines several different barcode standards with over 80 different fields encoded inside a barcode. Some fields exist on all barcode standards, other exist only on some. To standardize the API, we have structured the fields in the following sections. Keys for obtaining US Driver's license data. Standard for US Driver's Licenses defines 9 different barcode standards (AAMVA versions) with over 80 different fields encoded inside a barcode. Some fields exist on all barcode standards, other exist only on some. To standardize the API, we have structured the fields in the following sections. Driver License Card Examples Driver License Card Examples. A Guide to the Tennessee License and Identification Card. Design showcases Tennessee landmarks and icons.
- Ohio Drivers License Barcode Format
- Driver's License Barcode Format
- California Driver's License Barcode Format
- Florida Drivers License Barcode Format
- Texas Drivers License Barcode Format
Last Updated on 2020-11-30
Ohio Drivers License Barcode Format
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.
How to Extract Data from PDF417 of Driver Licenses
Option 1: Decode PDF417 from Cameras in a Web Application
Driver's License Barcode Format
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. Ptc mathcad prime free student download for mac os.
Download the full sample
Option 2: Read PDF417 from Scanners in a Web Application
If the driver’s license is copied on paper, you can digitalize it from a document scanner using Dynamic Web TWAIN first. https://cleverlodge617.weebly.com/blog/download-openoffice-for-mac-air.
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.
Download the full sample
The full sample code is also available on the website. If you have any questions or comments, please feel free to contact us at support@dynamsoft.com.
Option 3: 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.
California Driver's License Barcode Format
Parse PDF417 Results into a Human-readable Format
After the PDF417 value is decoded, we can then parse it into separate fields.
Try Dynamsoft Barcode Reader
Florida Drivers License Barcode Format
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.
Texas Drivers License Barcode Format
Dynamsoft was founded in 2003 in Vancouver, Canada. Since then, we have earned the trust of many Fortune 500 companies, including Lockheed Martin, HP, IBM, Intel, Disney, the US Government, NASA, Siemens, and many more.