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Utility for converting and comparing raw Ver-ID face templates
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Face Template Utility

Utility for converting and comparing raw Ver-ID face templates


The library depends on commons-codec:commons-codec:1.10 for converting face templates to base 64 strings.

Please add the following entries in your build.gradle file:

repositories {
    maven {
        url ""
    maven {
        url ""

dependencies {
    implementation "com.appliedrec.verid:face-template-utility:2.1.0"

Obtaining a raw face template

  1. Follow the instructions to install Ver-ID SDK for Android.

  2. Example function to detect a face and get its raw template:

    float[] rawFaceTemplateFromImage(Bitmap bitmap) throws Exception {
        VerIDFactory verIDFactory = new VerIDFactory(getContext());
        VerID verid = verIDFactory.createVerIDSync();
        if (verid.getFaceRecognition() instanceOf FaceRecognition) {
            VerIDImage image = new VerIDImage(bitmap);
            Face[] faces = verid.getFaceDetection().detectFacesInImage(image, 1);
            if (faces.length == 0) {
                throw new Exception("No face detected");
            RecognizableFace[] recognizableFaces = verid.getFaceRecognition().createRecognizableFacesFromFaces(faces, image);
            return ((FaceRecognition)verid.getFaceRecognition()).getRawFaceTemplate(recognizableFaces[0]);
        } else {
            throw new Exception("Using face recognition implementation that does not support extracting raw face templates");

Converting face templates to strings

If you're going to be storing raw face templates you may want to convert them to strings.

  1. Convert face template to string:

    float[] template; // Face template
    FaceTemplateBase64Coder coder = new FaceTemplateBase64Coder();
    String string = coder.encodeFaceTemplate(template);
  2. Convert string to face template:

    String templateString; // Face template encoded to string
    FaceTemplateBase64Coder coder = new FaceTemplateBase64Coder();
    float[] faceTemplate = coder.decodeFaceTemplate(templateString);
  3. Note that as of version 2.1.0 you can use encoded templates in comparisons. Simply construct an instance of FaceTemplateUtility with a coder of your choice. For example, to use templates that are encoded to base 64 strings use:

    FaceTemplateUtility<String> faceTemplateUtility = FaceTemplateUtility.withCoder(new FaceTemplateBase64Coder());

Comparing face templates

bool areFaceTemplatesSimilar(float[] template1, float[] template2) {
    float threshold = 4.0f;
    float score = FaceTemplateUtility.defaultInstance().compareFaceTemplates(template1, template2);
    return score > threshold;

Custom face template encoding and decoding

The library contains encoders and decoders for converting face templates from/to String (FaceTemplateBase64Coder) and byte[] (FaceTemplateByteArrayCoder). You can write your own encoder and supply it to the FaceTemplateUtility.withCoder(FaceTemplateCoder) factory constructor.

Here is an example of a coder that encodes the face template to JSON:

public class FaceTemplateJsonCoder implements FaceTemplateCoder<String> {

    private Gson gson = new Gson();

    public String encodeFaceTemplate(float[] faceTemplate) {
        return gson.toJson(faceTemplate);

    public float[] decodeFaceTemplate(String encodedFaceTemplate) {
        return gson.fromJson(encodedFaceTemplate, float[].class);

Pass the coder to the FaceTemplateUtility.withCoder(FaceTemplateCoder) factory constructor:

FaceTemplateUtility<String> faceTemplateUtility = FaceTemplateUtility.withCoder(new FaceTemplateJsonCoder());

You can then pass your JSON-encoded templates to the utility's compareFaceTemplates function:

String jsonTemplate1; // JSON-encoded face template
String jsonTemplate2; // JSON-encoded face template

float score = faceTemplateUtility.compareFaceTemplates(jsonTemplate1, jsonTemplate2);

Reference documentation

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