Biometric Authentication Using 3D Depth Map Analysis
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Solution Overview
Problem
Biometric authentication systems that rely on facial and iris recognition are vulnerable to unauthorized access using printed materials or 3D recreations, as they fail to distinguish between real and artificial three-dimensional objects, leading to potential unauthorized authentication.
Innovation Solution
An information processing apparatus and method that acquires and compares time-series feature data from multiple user data points, using depth map acquisition and biometric data to determine if the features match, thereby controlling authentication processing and preventing unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If biometric authentication uses facial or iris recognition, then authentication convenience is improved, but security against unauthorized access deteriorates
Solution Approach 1:
The patent transitions from two-dimensional image recognition to three-dimensional depth map recognition. By capturing depth information and analyzing three-dimensional facial structures, the system distinguishes between real human faces and two-dimensional printed materials or 3D recreations, thereby maintaining authentication convenience while significantly improving security against unauthorized access
Solution Approach 2:
The patent introduces depth map data as an intermediary layer between the user and the authentication system. This depth information acts as a mediator that enables the system to verify the authenticity of the user without requiring additional user actions, thus maintaining ease of operation while enhancing security through multi-dimensional verification
2Reliability
If motion-based authentication is used to prevent printed matter attacks, then security is improved, but vulnerability to electronic device reproduction deteriorates
Solution Approach 1:
The patent moves beyond analyzing motion in two dimensions by incorporating depth information to create three-dimensional motion analysis. This allows the system to detect subtle three-dimensional movements of facial features that are difficult to reproduce with electronic devices, thereby improving security while maintaining adaptability to various authentication scenarios
Solution Approach 2:
The patent employs dynamic analysis of facial movements over time, capturing how facial features move and change in three-dimensional space. This dynamic approach makes it difficult for electronic devices to reproduce authentic patterns, as they can only simulate static or predetermined motion sequences rather than genuine, unpredictable facial movements
3Measurement precision
If depth map acquisition is implemented, then distinction between real and artificial objects is improved, but device complexity increases
Solution Approach 1:
The patent designs the depth map acquisition system to serve multiple functions: it captures three-dimensional facial structures for authentication, detects motion patterns for liveness verification, and provides spatial information for preventing both printed matter and electronic device attacks. This multi-functionality reduces the need for separate components, thereby limiting the increase in device complexity
Solution Approach 2:
The patent combines depth map acquisition, facial feature extraction, and motion analysis into an integrated authentication system. By merging these functions into a unified processing pipeline, the system achieves high measurement precision for distinguishing real from artificial objects while minimizing the complexity increase that would result from separate independent systems
Data Source
AI summary
Provided is an information processing apparatus capable of preventing unauthorized collation.An information processing apparatus includes a data acquisition unit configured to automatically acquire a plurality of user data items to acquire feature data of a user on the basis of a time-series change in the plurality of user data items, a determination unit configured to compare a plurality of the feature data items acquired at different timings to determine whether or not the plurality of feature data items indicates an identical feature of the user, and a control unit configured to control authentication processing on the user depending on a first determination result that is a determination result obtained by the determination unit.