Biometric Authentication Using Recognizable Data and Optical Codes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Authentication methods often face a trade-off between security and user experience, where more secure processes are less user-friendly and vice versa, making it difficult to simultaneously enhance both aspects.
Innovation Solution
The proposed solution involves detecting a user within an image, analyzing biometric features, and using additional recognizable data, such as One Time Passwords or optical codes, to authenticate users while minimizing the need for complex user input, thereby improving both security and usability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication methods (passwords, PINs) are used, then system security is maintained, but user experience and ease of operation deteriorate due to complexity and user burden
Solution Approach 1:
The patent replaces manual authentication mechanisms (typing passwords, entering PINs) with automated biometric recognition systems. The computing device captures images of the user and automatically performs facial recognition or other biometric analysis, eliminating the need for users to manually input authentication credentials. This substitution of mechanical interaction with automated biological recognition directly improves ease of operation while maintaining security through sophisticated biometric verification algorithms.
Solution Approach 2:
The authentication system performs self-service by automatically capturing biometric data, processing it through recognition algorithms, and verifying identity without requiring active user participation beyond presenting themselves for capture. The system handles the entire authentication workflow autonomously, from image capture to verification decision, reducing user burden while maintaining security through automated compliance with authentication protocols.
2Ease of operation
If biometric authentication is implemented, then ease of operation improves, but system complexity and device requirements worsen
Solution Approach 1:
The patent leverages the existing camera and image processing capabilities of standard computing devices to perform biometric authentication. Rather than requiring specialized biometric hardware, the system uses the device's existing imaging components for multiple purposes: capturing images for various applications and simultaneously performing authentication. This multi-functionality approach allows biometric authentication to be implemented on general-purpose devices without adding specialized hardware complexity.
Solution Approach 2:
The system creates and processes digital copies of biometric data (facial images, biometric templates) for authentication purposes. Instead of requiring physical biometric sensors or specialized hardware, the system captures optical copies of biometric features through standard cameras and processes these digital representations. This copying approach enables biometric authentication using existing device capabilities rather than requiring complex specialized hardware infrastructure.
3Reliability
If multiple authentication factors are required, then system security improves, but user burden and authentication time worsen
Solution Approach 1:
The patent merges multiple authentication factors into a single integrated authentication event. The system simultaneously performs biometric recognition (facial or other biometric features) and device verification (checking the authenticity of the computing device presenting itself). Rather than requiring sequential authentication steps, the system combines these verification processes into a parallel operation that occurs during a single image capture and processing cycle, reducing authentication time while maintaining multi-factor security.
Solution Approach 2:
The system performs preliminary verification of device authenticity and authentication parameters before the actual biometric verification occurs. By pre-configuring authentication policies, pre-validating device credentials, and preparing verification protocols in advance, the system reduces the processing time required during the actual authentication moment. This preliminary action ensures that when authentication is initiated, the verification process can proceed efficiently without delays for setup or configuration.
Data Source
AI summary
Authentication methods and systems are disclosed. In one non-limiting example, an authentication method may include detecting a user within an image, determining that the image further includes additional recognizable data, analyzing the additional recognizable data and one or more biometric features of the user, and determining that the additional recognizable data and the one or more biometric features of the user correspond to valid additional recognizable data and valid biometric features of an enrolled user, respectively. The method may further include enabling the user to access a protected asset based on determining that the additional recognizable data and the one or more biometric features of the user correspond to valid additional recognizable data and valid biometric features of an enrolled user, respectively.