Multi-Factor Facial Authentication via Depth Maps and Gestures
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Solution Overview
Problem
Existing authentication methods for ATMs and electronic devices are vulnerable to fraud, particularly facial recognition systems that can be tricked using two-dimensional representations of authorized users, leading to potential unauthorized access.
Innovation Solution
Implementing a multi-factor facial image authentication system that captures a first facial image and compares it with stored credentials, followed by a second facial image captured after displaying a facial gesture cue, ensuring that both match associated credentials, and optionally using a secondary biometric sensor for additional security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If facial recognition is used as a stand-alone authentication technique, then authentication speed and user convenience are improved, but vulnerability to fraud increases due to spoofing attacks using two-dimensional representations
Solution Approach 1:
The patent transitions from two-dimensional facial images to three-dimensional depth maps by capturing depth information. This dimensional change enables the system to distinguish real faces from flat photographs, as the depth map captures the actual three-dimensional structure of the face including contours, distances, and spatial relationships that cannot be replicated in 2D spoofing attempts.
Solution Approach 2:
The patent requires the user to perform a dynamic facial gesture (such as blinking, smiling, or turning the head) during authentication. This dynamic requirement prevents spoofing with static images, as the system captures a sequence of facial states rather than a single static frame, verifying that the subject is a living person capable of movement.
2Reliability
If traditional card and PIN authentication is used, then authentication security is maintained, but vulnerability to physical card theft and PIN observation increases
Solution Approach 1:
The patent replaces the mechanical authentication system (physical card insertion and manual PIN entry) with an optical/biometric system using depth map capture and facial gesture recognition. This substitution eliminates the physical vulnerabilities of card theft and PIN observation, as the authentication is based on unique biological characteristics that cannot be easily stolen or observed.
3Reliability
If multiple authentication factors are implemented, then authentication security is improved, but system complexity and processing time increase
Solution Approach 1:
The patent combines multiple authentication factors (depth map verification and facial gesture recognition) into a single integrated authentication flow. Rather than requiring separate steps for each factor, the system captures both depth information and gesture sequences simultaneously during one authentication interaction, reducing the perceived complexity for the user while maintaining multi-factor security.
Data Source
AI summary
A method and system for authenticating users accessing financial accounts from user terminals via multi-factor image authentication. The system includes an authentication server and a user terminal. The method captures a first facial image of a user and compares this image with stored facial recognition credentials. The method prompts the user via a facial gesture cue to make a facial gesture, captures a second facial image of the user, and compares the second image with stored facial gesture credentials. The user is authorized to perform a transaction in the event the first facial image matches a facial recognition credential for an authorized account, and the second facial image matches a facial gesture credential associated with the authorized account. Facial gesture credentials may be based upon static gestures or dynamic gestures, and may be overt or secret. An additional authentication factor may employ a secondary biometric sensor.