Biometric SDK is complete open-source solutions for operating biometric data on a different modals
npm install @iriscan/biometric-sdk-react-nativeBiometric SDK
``sh`
npm install @iriscan/biometric-sdk-react-native
`js
import {
configure, faceCompare, faceScore, livenessScore, livenessValidate
} from '@iriscan/biometric-sdk-react-native';
// configure sdk
let config = {
withFace: {
encoder: {
tfModel: {
path: 'https://github.com/biometric-technologies/tensorflow-facenet-model-test/raw/master/model.tflite',
inputWidth: 160,
inputHeight: 160,
outputLength: 512,
// optional
modelChecksum: '797b4d99794965749635352d55da38d4748c28c659ee1502338badee4614ed06',
},
},
matcher: {
threshold: 1.0,
},
liveness: {
tfModel: {
path: 'https://github.com/biometric-technologies/liveness-detection-model/releases/download/v0.2.0/deePix.tflite',
inputWidth: 224,
inputHeight: 224,
// 0.0 - real, 1.0 - spoof
threshold: 0.5,
// optional
// modelChecksum: "797b4d99794965749635352d55da38d4748c28c659ee1502338badee4614ed06",
},
},
},
};
configure(config).then(() => console.log('Biometric SDK Ready'));
// recognition
// create templates from base64 image
const template1 = await faceExtractAndEncode(image1.data);
const template2 = await faceExtractAndEncode(image2.data);
// calculatee match score
const result = await BiometricSdkReactNative.faceScore(template1, template2);
console.log(Result = ${result})
// liveness
// calculatee score
const livenessScore = await livenessScore(image1.data);
const live = livenessScore < 0.5;
// check for result
const isLive = livenessValidate(image1.data)
``
See the contributing guide to learn how to contribute to the repository and the development workflow.
MIT
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Made with create-react-native-library