Facial biometrics

PhotoID matching

The other key part of digital identity verification is to match the applicant's photo on an ID card or selfie image with the selfie video. The PresentID PhotoID matching (face matching) API/SDK evaluates whether two faces belong to the same person or not. Face verification ensures a one-to-one (1:1) match of a face image captured at the time of integration with an image captured from a trusted credential such as a driver's license or passport.

We have created a very deep convolutional neural network to extract very high-level features from a face for each person. We provide a large-scale image database of faces from many sources, e.g. web crowdsourcing, our in-house integrated dataset. The database contains a wide variety of breeds. The inference time of our model is 115ms on an intel corei7 6700k processor. Mostly in our solution, we save some images from client's SDK which are selected based on our own algorithm. This feature makes our pairing stronger. In addition, we record the checksum of a video to check for duplicate videos.

Our method has shown promising results with wide variations in Appearance, eg pose, age gaps, skin tone, glass, makeup and beard.

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Facel biometrics

Features

  • Less than 1 second.
  • Accuracy is 99.76% on the LFW face verification dataset, a very popular benchmark.
  • Supports iOS, Android, Windows and Mac devices.
  • Detect face photos as small as 50x50 Px.
  • Easy integration with your application.
Facial biometrics

Rules and restrictions

  • Send data via base64 or image URL or image file.
  • Image size should not exceed 8mb.
  • Also, images should not be larger than 5000 pixels and smaller than 50 pixels.
Facial biometrics

Use cases

  • Corporate payroll and attendance management
  • Remote access and home office authentication
  • User integration
  • Financial data and identity protection
  • Call center performance
  • Online exam and online learning
  • Mobile payments
  • Pay by face
  • Pay by voice
  • Self-service car rental
  • Self-service scooters and bikes
  • Car sharing
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Free try

PhotoID match demo

Notice:
First, read PresentID's privacy notice carefully before trying the demo.

Tips:
Upload 2 images and press compare button.

JSON result:
Result index = 0: this means that 2 faces belong to the same person with a probability of 100%.
Result index = 1: this means that 2 faces belong to the same person with a probability of 80% to 100%.
Result index = 2: this means that 2 faces belong to different people with a probability of 80% to 100%.
Result index = 3: this means that 2 faces belong to different people with a probability of 100%.
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JSON result:
Result index = 0: this means that 2 faces belong to the same person with a probability of 100%.
Result index = 1: this means that 2 faces belong to the same person with a probability of 80% to 100%.
Result index = 2: this means that 2 faces belong to different people with a probability of 80% to 100%.
Result index = 3: this means that 2 faces belong to different people with a probability of 100%.
JSON output 

Web, Android, iOS SDK

Web API

Try our PhotoID matching API on RapidAPI

Popularity:
9.4 / 10
Latency:
1,569ms
Service level:
100%

Introducing PhotoID matching

PresentID PhotoID matching evaluates whether two faces belong to the same person or not.

Free try

Get in touch

67, Rue Jean Jaures, 94800 Villejuif, France

5, parvis Alan-Turing, 75013 Paris, France

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