Biometric Authentication Template Error Correction
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Solution Overview
Problem
Biometric authentication systems face challenges in accurately processing images with unusable portions, such as blurriness or occlusions, which can lead to privacy concerns and security risks due to the need for secure storage and transmission of biometric data.
Innovation Solution
The method involves creating a revised template by setting occluded locations to a selected value, generating an authentication codeword using public recovery data, and performing error correction to ensure accurate authentication without requiring secure storage or transmission of biometric data, utilizing bitwise operators like XOR for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric data is stored and transmitted securely, then authentication reliability is improved, but security risks and privacy concerns increase due to potential data breaches
Solution Approach 1:
The patent extracts and removes the biometric template from the authentication process by using only feature encodings. The system takes out the sensitive biometric data (the actual template) and replaces it with processed feature representations that can be used for authentication without requiring storage or transmission of the original biometric information.
Solution Approach 2:
The patent introduces feature encodings as an intermediary between the biometric data and the authentication process. These encodings act as a mediator that allows authentication to occur without direct access to or storage of the sensitive biometric template, thereby reducing privacy risks while maintaining authentication reliability.
2Measurement precision
If complete biometric templates are processed, then authentication accuracy is improved, but the system becomes vulnerable to privacy leaks and requires secure storage
Solution Approach 1:
The system extracts only the necessary feature encodings from the complete biometric template, removing unnecessary sensitive information. This extraction process maintains authentication accuracy by preserving key features while eliminating the need to store or process the entire biometric template.
Solution Approach 2:
The patent applies local quality by processing only specific portions of the biometric data that are necessary for authentication. Instead of processing the entire template uniformly, the system identifies and processes only the relevant feature encodings, maintaining accuracy where needed while protecting privacy in other areas.
3Productivity
If images with occlusions are processed without correction, then processing speed is maintained, but authentication reliability deteriorates due to unusable image portions
Solution Approach 1:
The patent applies preliminary action by pre-identifying and marking occluded portions during the enrollment phase. The system performs advance detection of unusable image areas and stores this occlusion information for later use during authentication, allowing for faster processing without compromising reliability.
Solution Approach 2:
The system provides beforehand cushioning by preparing correction data during enrollment that compensates for future occlusion issues. This preliminary preparation ensures that when occlusions occur during authentication, the system can reliably correct for them without compromising authentication accuracy.
Data Source
AI summary
Authentication methods, systems and computer readable storage medium are provided. In an embodiment, an authentication method includes obtaining from an authentication template a first template portion, including an encoding of features, and a second template portion, including an identification of a location in the first template portion that is not usable. The method further includes revising the first template portion by setting a value at the location to a selected value to form a revised first template portion. Also, the method includes creating an authentication codeword from the revised first template portion and from public recovery data. The method further includes performing an error correction process to generate a corrected authentication codeword from the authentication codeword and from the second template portion and decoding the corrected authentication codeword.