Identity Scanner

Identity Scanner is a Zia AI-driven component that enables you to perform secure identity checks on individuals and documents by scanning and processing various ID proofs or official documents. It is a comprehensive suite that incorporates multiple functionalities divided into two major categories- E-KYC and Document Processing.

Facial Comparison

Facial Comparison, also known as E-KYC, is a part of Identity Scanner that Compares two faces in two different images to determine if they are the same individual. This will enable you to verify an individual’s identity from their ID proof by comparing it with an existing photo of theirs. For example, you can verify the authenticity of a photo ID, such as an individual’s Aadhaar card, by comparing it with their current photograph.

You can perform a face comparison between a source image and a query image, by specifying the path to both the image files, as shown in the sample code. The compareFace() method processes both these images. The zia reference used here is defined in the component instance page.

Allowed file formats: .jpg, .jpeg, .png

File size limit: 10 MB

The result of the comparison is set to true if the faces match, or false if they don’t match. The result also contains a confidence score between the range of 0 to 1, that determines the accuracy of the processing. Only if the comparison yields a confidence score of above 50% i.e., 0.5, the result will be set to true.

    

        
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         let fs = require('fs');
const zia = app.zia();
const sourceImage = fs.createReadStream('/Users/amelia-421/Desktop/source.jpg'); 
//Specify the file path 
const queryImage = fs.createReadStream('/Users/amelia-421/Desktop/query.jpg'); 
//Specify the file path
zia.compareFace(sourceImage, queryImage) .then((res) => console.log(res)) .catch((err) => console.log('error: ', err));
//Push errors to Catalyst Logs

    

A sample response that you will receive is shown below. The response is the same for both versions of Node.js.

Node js

    

        
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         { 
confidence: 0.9464, 
matched: "true" 
}