ID Card Recognition SDK - Server

This stands for ID card scanner, ID document reader, ID card reader, ID document recognition, passport scanner, ID scanner, MRZ parser, barcode reader, barcode scan, MRZ scan on Linux and Windows

We provide the ID Card Recognition SDK for both Windows and Linux.

Features

• Support ID documents from 200+ countries

• Document Detection

• Recognition of ID Cards, Passports, Driver's Licenses

• MRZ Recognition

• Document Image Extraction

• Portrait Image Extraction

• 130+ languages, by including Greek, Arabic, Latin, Cyrillic, Hebrew, Chinese, and more

License

We offer lifetime license(perpetual license) based on machine ID for server(Windows, Linux). The license is available for a one-time payment. In other words, once you purchase license from me, you can use our SDK permanently.

To request a license, please contact us:

Email: [e-mail]

Telegram: @kbyai

WhatsApp: [phone]

Skype: live:.cid.66e2522354b1049b

System Requirements

1. Windows

• CPU: 2 cores or more (Recommended: 2 cores)

• RAM: 4 GB or more (Recommended: 8 GB)

• HDD: 4 GB or more (Recommended: 8 GB)

• OS: Windows 7 or later

• Architecture: x64

2. Linux

• CPU: 2 cores or more (Recommended: 2 cores)

• RAM: 4 GB or more (Recommended: 8 GB)

• HDD: 4 GB or more (Recommended: 8 GB)

• OS: Ubuntu 20.04 or later

• Architecture: x64

Import SDK

1. Python

from idsdk import getMachineCode
from idsdk import setActivation
from idsdk import initSDK
from idsdk import idcardRecognition

2. C++

#include "idsdk.h"

# CMake for Windows
target_link_libraries(your_app_name
    /path/to/library/idsdk.lib
)

# CMake for Linux
target_link_libraries(your_app_name
    /path/to/library/libidsdk.so
)

Initializing SDK

1. Step one

• First, obtain the machine code for activation and request a license based on the machine code.

# Python code example

machineCode = getMachineCode()
print("machineCode: ", machineCode.decode('utf-8'))

// C++ code example

printf("machine code: %s\n", getMachineCode());

2. Step Two

• Next, activate the SDK using the received license.

# Python code example

setActivation(license.encode('utf-8'))

// C++ code example

int ret = setActivation("...");

• If activation is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

3. Step Three

• After activation, call the initialization function of the SDK.

# Python code example

initSDK()

// C++ code example

ret = initSDK();

The 'data' model directory should be located in the same path as the library. For example: |--data | |--model1.bin | |--model2.bin | |--model3.bin |--libidsdk.so ...

• The first parameter is the path to the model.

• If initialization is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

APIs

1. getMachineCode

First, obtain the machine code for activation and request a license based on the machine code.

# Python code example

machineCode = getMachineCode()
print("machineCode: ", machineCode.decode('utf-8'))

// C++ code example

printf("machine code: %s\n", getMachineCode());

2. setActivation

Next, activate the SDK using the received license.

# Python code example

setActivation(license.encode('utf-8'))

// C++ code example

int ret = setActivation("...");

If activation is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

3. initSDK

After activation, call the initialization function of the SDK.

# Python code example

initSDK()

// C++ code example

ret = initSDK();

The first parameter is the path to the model.

If initialization is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

4. idcardRecognition

The SDK provides a single API for ID card recognition.

The function can be used as follows:

# Python code example

jsonResult = idcardRecognition(base64_image.encode('utf-8'))

// C++ code example

char* jsonResult = idcardRecognition(base64_image);

The function accepts only one parameter, which should be the base64-encoded format of the image (e.g., JPG, PNG, etc.).

If the recognition is successful, the function will return a JSON-formatted string containing the recognized information. In case of failure, the return value will be NULL.