Passport OCR Constraints
Passports of different countries can be recognized by extracting information based on the machine-readable code at the bottom of the first page.
Only images in PNG, JPG, JPEG, BMP, or TIFF format can be recognized.
No side of the image can be smaller than 15 or larger than 8,192 pixels.
The information page of the passport to be recognized must occupy more than 25% of the image. When scanning a passport, ensure that the entire page is displayed in the image.
A passport can be rotated to any angle.
The passport in the image can be moderately distorted, but the aspect ratio cannot be distorted by more than 10%.
Illuminated or dark images can be recognized, but the accuracy may be compromised.
Calling the Passport OCR SDK
OCR SDKs use OCR RESTful APIs to simplify development.
To call an OCR API using an SDK, do the following:
Step 1: Subscribing to a Service
Step 2: Installing the SDK
Step 3: Obtaining Sample Code
Step 4: Calling the Service
Using Postman to Call the Passport OCR API
Use Postman to call the Passport OCR API.
To call an OCR API, there are four steps:
Step 1: Subscribing to a Service
Step 2: Configuring the Environment
Step 3: Using a Token for Authentication
Step 4: Calling the Service
OCR Advantages
Accurately identify and convert key information into editable text to authenticate your users with ease.
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Wide Scope
Recognize and extract key information from images of identity documents - such as ID cards, driver's licenses, and passports
Recognize and extract key information from images of identity documents — such as ID cards, driver's licenses, and passports
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High Accuracy
Adopt deep learning algorithms for each service scenario to recognize characters with high accuracy.
Adopt deep learning algorithms for each service scenario to recognize characters with high accuracy.
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Enhanced Capabilities
Take advantage of OCR to extract characters from distorted or tilted certificates with complex backgrounds.
Take advantage of OCR to extract characters from distorted or tilted certificates with complex backgrounds.