A driver’s license is probably one of the most used IDs to verify the identification of a person. It contains a unique license number, the owner’s photo, full name, full address, the ID’s expiration date, and many more.
In document processing, identification cards are necessary to check the individual’s identity. Most institutions now use software technologies to capture relevant information and validate a person’s identity.
One key feature of OCR technology is its ability to capture and extract data from a driver’s license in a matter of seconds and validate the owner’s signature, address, and other data available in the driver’s license by comparing it from a source or database. It is said to be 20 times faster than entering the data manually.
Aside from a driver’s license, OCR can also check other ID documents like passports, military abd nedical cards, etc. If integrated with machine learning, AI, natural language processing, and other technologies, it can read the passport’s relevant information regardless of the way of writing, the language used or the passport template.
ID’s unique number, name, nationality, age, address, date of birth, gender, and ID’s expiration date are just some of the usual information the OCR technology extracts from a driver’s license and other ID documents.