Workshop/Challenge: Dual Factor Lip-Based Biometric User Authentication

An ICIAP 2025 Competition on Audio-Visual Biometric Verification

Dataset Info Register Now Training set

About the Challenge

This competition focuses on dual factor biometric authentication using spoken passphrases and lip motion from video data. Participants must develop systems to authenticate users in an open-set scenario with high accuracy and low error rates.

Prima immagine

Seconda immagine

Evaluation

Primary metric: Equal Error Rate (EER)

Participants must submit a JSON file like:

{
  "video_file": "sample_01.mp4",
  "score": 0.87,
  "user_id": "U001",
  "spoken_word": "open"
}

Dataset Structure

Each user has a folder with multiple videos containing correct and incorrect passphrases. The system must identify valid users and reject impostors or invalid phrases.

Example of the Training Set filename format: <ID>_<NUM_PROG>_<T/F>.mp4, where ID is the user identifier, NUM_PROG is the progressive number, and T/F indicates whether the video contains a correct (T) or incorrect (F) passphrase.

Research Topics

Lip feature extraction
Audio-visual fusion
Temporal modeling
Privacy-preserving authentication
Cross-device generalization
Explainability

Important dates

Organizers

Bibliography

Sponsors

ICTLab