Capture Trust

MOBILE BIOMETRICS
OCR
IDENTITY DOCUMENT PROCESSING
Biometric Data Matching
BIOMETRIC IDENTITY MANAGEMENT
Digital Identity
DIGITAL IDENTITY

Multimodal Biometric

Choose one

FACE BIOMETRIC

FINGER BIOMETRIC

PALM BIOMETRIC

Face authentication with liveness

  • Capture selfies (front camera) or assisted photos (rear camera) of the user, regardless of the brand, model, or technical specifications of the device. The solution ensures quick and easy captures in almost any lighting condition, providing a great user experience even in low-light environments and outdoors.
  • Ensure quality and interoperability requirements for the exchange of biometric data with third-party systems, such as face matchers from government or private entities.
  • Securely capture by detecting any presentation attack such as printed images, images projected on different screens or 2D/3D masks while video or code injection attacks are prevented.
  • Comply with the most demanding privacy regulations as biometric samples are entirely processed on the device.
  • Reduce infrastructure and maintenance costs, as it does not require additional hardware other than the user's mobile phone, drastically reducing deployment costs.

Native SDK

The native SDKs offer compatibility with native or hybrid applications for Android and iOS operating systems, providing biometric security for current use cases such as digital onboarding, banking transactions, access applications, etc.

  • Supports cloud-based, edge and on-device processing, improving flexibility.
  • Works with smartphones, tablets, ATMs and kiosks.

Any smartphone

It is based on Touchless ID biometric interface and only requires a low end camera with flash or torch to capture the user's face.

Mobile device:

  • Camera with a minimum of 1.3MP resolution.
  • 1 GB of RAM.
  • 1 GHz processor.

Eliminates the need for carrying physical documents, improving convenience. Users can verify their identity simply by looking at their smartphone.

Simple Integration

The software library is optimized for size and speed and can be easily integrated into existing mobile apps to enhance and offer multi-factor biometrics authentication.

  • Provides RESTful APIs for backend integration, allowing businesses to connect Touchless ID's biometric capabilities with their existing infrastructure.
  • Ensures compatibility with banking systems, CRM platforms, government databases, and enterprise applications.
  • Supports cloud-based and on-premise deployment options.

Low friction

Passive mode eliminates the need for users to perform active gestures during face captures, avoiding delays in the capture process and ensuring user comfort. It also robust to deep fake attacks.

  • The solution ensures quick captures within seconds under nearly any lighting conditions, providing an excellent user experience with low customer friction.
  • Enables a hassle-free, intuitive identity verification process.
  • Ensures a smooth experience even for non-tech-savvy users.

Templates supported

Captures face images that are compatible with existing face biometric standards (e.g. ISO, NIST) and also returns scores for image quality and other ICAO like parameters such as eyes visibility, etc.

  • ISO/IEC 19794-5: International standard for storing and exchanging facial biometric data.
  • Deep Learning-Based Facial Embeddings: AI-driven facial recognition models convert images into secure mathematical representations, improving accuracy and privacy.
  • Interoperability with Identity Databases: Supports verification against government databases and enterprise identity systems.

Liveness

Face liveness and anti-spoofing mechanisms are supported providing liveness scoring for every capture through an extensive analysis of a number of parameters that are extracted from the captured camera images, thus ensuring that copies, pictures and molds are rejected.

  • Prevents fraud by detecting fake attempts using photos, videos, or 3D masks.
  • Ensures that the person presenting their face is alive and physically present.
  • Uses AI-powered motion analysis and texture detection to prevent spoofing attacks.

Secure Performance

Touchless ID's matcher has been validated by NIST in its FRVT test. Best in class face recognition balance between false accept and false reject rates.

  • The technology complies with ISO 30107-3, levels 1 and 2, evaluated by an independent laboratory accredited by FIDO and Android.
  • Meets global security regulations, including:
    • AML (Anti-Money Laundering)
    • GDPR (General Data Protection Regulation)
    • Local financial & banking regulations (e.g., Mexican INE biometric matching requirements).
  • Reduces fraud risks by cross-referencing user data with national biometric databases.