OCR library for iOS

Installation

1. Add SESmartID folder containing source files to your project, select Create groups in the menu
2. Add SESmartIDCore/lib folder containing static library to your project, select Create groups in the menu
3. Add SESmartIDCore/data-zip folder to your project, select Create folder references in the menu
4. Add SESmartIDCore/include folder to the Header Search Paths in project settings
5. Add SESmartIDCore/wrap folder containing core library wrappers, select Create groups in the menu.
6. Add SESmartIDCore/wrap/objcsecommon/include, SESmartIDCore/wrap/objcsecommon/include_impl, SESmartIDCore/wrap/objcidengine/include, SESmartIDCore/wrap/objcidengine/include_impl folders to the Header Search Paths in your project settings
7. If you use Swift, add SESmartID/SmartID-Bridging-Header.h to the Objective-C Bridging Header in project settings

Basic usage

1. Create IdEngine instance

After installing the framework first you need to initialize the OCR engine:

var idEngine = SmartIDVideoProcessingEngineSwift()

Configuration process might take a while but it only needs to be performed once during the program lifetime. Configured IdEngine is used to spawn IdSessions which have actual recognition methods.

2. Setup IdEngine

You should setup the IdEngine instance setting its delegate and the signature provided with the library.

Smart ID Engine users are required to use a personalized signature for starting a session. The signature is validated offline and locks to the copy of the native library, thus ensures that only an authorized client may use it. The signature is a string with 256 characters which you may find in the provided documentation or request from the library provider.

You will need to manually copy the signature string and pass it to the idEngine instance (see below). Do NOT keep the signature in any asset files, only inside code. If possible, clients are encouraged to keep the signature in a controlled server and load it into the application via a secure channel, to ensure that signature and the library are separated.

let signature = "<YOUR_SIGNATURE_GOES_HERE>"
idEngine.sessionOption(withOptionName: "signature", andWithOptionValue: signature)

To set the Smart ID Engine delegate you should create an object conforming to SmartIDVideoProcessingEngineSwiftDelegate:

class SmartIDDelegate: SmartIDVideoProcessingEngineSwiftDelegate {
    func smartIDVideoProcessingEngineDidRecognize(_ result: SmartIDRecognitionResult) {
        // ...
    }
}

instantiate your new SmartIDDelegate:

let smartIDDelegate = SmartIDDelegate()

and set the desired delegate object to idEngine instance smartIDDelegate property:

idEngine.smartIDDelegate = smartIDDelegate

For further information and delegate options see SmartIDVideoProcessingEngineSwiftDelegate implementation. The described implementation is enough for the majority of usecases.

3. Setup OCR session

The next step allows you to specify the desired document types for recognition:

let sessionSettings = self.idEngine.getSessionSettings()
sessionSettings.addEnabledDocumentTypes("bra.id.type1")

By default, all document types are disabled.

For the whole list of supported document types please see the full library documentation — List of countries and special document types

In a single session you can only enable document types that belong to the same internal engine.

For convenience it's possible to use wildcards (using asterisk symbol) while enabling or disabling document types.

sessionSettings.addEnabledDocumentTypes("bra.*")

It's always better to enable the minimum number of document types as possible if you know exactly what are you going to recognize because the system will spend less time deciding which document type out of all enabled ones has been presented to it.

4. Process image

After setting up the engine, session and delegate methods, the final step is to call one of the process... methods:

idEngine.processUIImageFile(documentImage)

5. Process OCR results

In the smartIDVideoProcessingEngineDidRecognize delegate method you should have result available after succesful recognition.

You can get the recognized document type as follows:

let documentType = result.getDocumentType()

as well as you have an access to the recognized fields using the following methods:

let stringFields = result.getStringFields()
let imageFields = result.getImageFields()

As a result you get an array of SmartIDStringField or SmartIDImageField objects. Each object gives you:

• the name of the field — getName()
• the value of the field — getValue()
• the confidence of the OCR — getConfidence()