Document Reader SDK Features

Regula Document Reader SDK is a standalone document verification software that helps organize an enhanced identity verification process on any platform - mobile, web, and desktop - to detect and fight fraud at early stages. It fully automates reading and verification of personal data in passports, ID cards, driver’s licenses, visas, and other identity documents.

Before delving into the features of the Document Reader SDK, let's explore the composition of documents and learn about their essential components: MRZ, Visual Zone, Barcode, and RFID chip.

MRZ — Machine Readable Zone — the fixed area located on identity documents, typically consists of two or three lines of characters, encoded in a specific format, each containing specific information such as the document holder's name, date of birth, nationality, passport or ID card number, expiration date, and etc.
Visual Zone — the human-readable area of identity documents. It usually includes the document holder's name, address, date of birth, and other information; the photograph, signature of the document holder, and other graphical elements.
Barcode — the machine-readable representation of the document holder information in a pattern of parallel lines, rectangles, or dots.
RFID chip — Radio Frequency Identification chip - a chip icon on an identity document means that this is an electronic document with the chip inside it. The information stored on the chip is the same as that displayed on the data page. The chip also has a unique digital signature as a protective measure from unauthorized access.

Features Availability

Feature	Mobile SDK	Web Service	Web Components	Desktop Devices
MRZ OCR
Barcode Recognition
Document Location
Image Quality Assessment
Document Type Identification
Visual Zone OCR
Authenticity Control
RFID Chip Processing

* only when reprocessing data, obtained from devices that use Regula software

MRZ OCR

MRZ OCR (Optical Character Recognition) refers to the automated recognition and extraction of information from Machine Readable Zones found on passports, ID cards, visas, and other identity documents.

MRZ OCR involves using OCR technology and advanced computer vision techniques to locate the MRZ, recognize the characters within it, and extract the information for further processing. This technology is widely used where quick and accurate verification of identity documents is necessary.

Barcode Recognition

Barcode Recognition is a technology to extract information from barcodes and convert it into machine-readable text. It involves analyzing the pattern of bars or dots, converting them into a digital representation, and then using OCR algorithms to recognize and interpret the encoded data.

Barcode Recognition technology enhances data accuracy extraction, reduces manual data entry, and speeds up processes that involve quick capturing of information.

Document Location

Detecting the document boundaries and cropping out the document from the image.

Image Quality Assessment

Image Quality Assessment involves evaluating the quality of identity documents images. It includes various assessments: resolution, colorness, presence of glares, focus, and others.

Explore Image Quality Checks

Document Type Identification

Document Type Identification uses machine learning to identify which document is presented, check the legitimacy of a document by comparing it to a documents database.

First, users scan any document via their mobile or can be captured via the web. The scan is then assessed, the document type identified, and its key attributes are compared to corresponding template images. In all, the process is done in a matter of a second, on any ID document image submitted from any device, mobile or laptop.

Visual Zone OCR

Visual Zone OCR, also referred to simply as Visual OCR, is a technology used to extract information from the human-readable area of identity documents.

Like MRZ OCR, Visual OCR technology plays a crucial role in automating identity verification, data entry, and authentication processes in various scenarios, such as border control, law enforcement, and customer onboarding for financial services or other industries that require identity validation.

Authenticity Control

Identity documents, such as passports and ID cards, typically incorporate various security features. The authenticity of these security elements can be verified with the help of the Document Reader SDK.

Authenticity Control proves the identity document is genuine or fake. It helps to instantly detect and authenticate data from the Visual Zone, MRZ, barcodes, and RFID chip, examine security features in the various lights: visible, UV, IR, axial. Automatically verifies the presence of IPI, detects various techniques of replacing the holder's photo in the given document, and conducts the document liveness check.

It's crucial for various organizations, such as government agencies, financial institutions, and businesses, to verify the authenticity of identity documents to prevent fraud and ensure security.

Explore Authenticity Features

RFID Chip Processing

Biometric documents are documents similar to the traditional ones except for one significant difference: they have the RFID chip embedded. The chip contains an antenna, allowing it to communicate wirelessly via radio waves.

Document Reader SDK allows reading data from RFID chip memory when working with devices equipped with NFC hardware. The RFID reader sends out radio-frequency signals, which energize the RFID chip. The chip responds by transmitting its stored data back to the reader. Once processing is completed, the read information can be used for further processing.

Supported Documents

Find the list of supported documents in the Documents Database (PDF file).

Also, you can download the Documents Database Excel file.