Continuous Signature Profiles for Context-Aware Verification
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Solution Overview
Problem
Signature verification methods face challenges due to the variability in an individual's signature quality, which is influenced by factors such as writing utensil, physical condition, emotional state, time constraint, and environmental factors, leading to inaccurate verification results when using a single reference signature.
Innovation Solution
Collect and store a plurality of authentic signatures and their parameter sets during user authentication events, using a blockchain network or database, and utilize machine learning to determine authenticity based on similarity and parameter sets, ensuring only authentic signatures are included in the profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single reference signature is stored and used for verification, then the verification process is simple and fast, but the accuracy and reliability of signature verification deteriorates due to inability to capture signature variations
Solution Approach 1:
The signature reference is segmented into multiple individual signatures stored in a signature profile. Instead of using a single reference signature, the system stores a collection of signatures (e.g., signature 1, signature 2, signature 3) that represent variations in the user's signing behavior under different conditions. This segmentation allows the verification process to account for natural variations in signature quality while maintaining systematic organization.
Solution Approach 2:
The system adds a new dimension to signature verification by incorporating contextual parameters (writing utensil, physical condition, emotional state, time constraint, environmental factors) alongside the signature images themselves. This multi-dimensional approach transforms the verification process from comparing only signature images to comparing signatures within their contextual frameworks, thereby improving accuracy without excessive complexity.
2Measurement precision
If multiple signatures and parameter sets are collected and stored, then the verification accuracy improves by capturing signature variations, but the data storage and processing complexity increases
Solution Approach 1:
The system extracts and stores only the essential contextual parameters (writing utensil type, physical condition, emotional state, time constraint, environmental factors) that significantly impact signature quality, rather than storing all possible data. This extraction approach captures the necessary information for accurate verification while minimizing data volume and processing requirements.
Solution Approach 2:
The system performs preliminary analysis during the signature collection phase to identify and store only the most relevant parameters and signatures. By pre-processing and filtering data during collection rather than processing all data during verification, the system reduces the burden of data storage and processing while maintaining high verification accuracy.
3Adaptability or versatility
If a singular reference signature is used, then the system is easy to implement and maintain, but it cannot adapt to changes in signature quality due to various influencing factors
Solution Approach 1:
The signature profile structure is designed to be universal and multi-functional, capable of storing multiple signatures and various types of contextual parameters in a standardized format. This universal structure can accommodate different users, different signing conditions, and different verification requirements without requiring system redesign, thereby providing adaptability while maintaining operational simplicity through consistency.
Solution Approach 2:
The signature profile is designed as a dynamic structure that can be updated and expanded over time. New signatures and parameters can be added to the profile as the user's signing behavior evolves or as new influencing factors are identified. This dynamic capability allows the system to adapt to changes in signature quality while maintaining a straightforward update process that doesn't complicate overall system operation.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for providing continuous signature management. An example method includes detecting, by an event identification circuitry, a user authentication event and receiving, by communications hardware, a signature from the user during the user authentication event. The example method further includes determining, by the event identification circuitry, a signature parameter set for the signature and determining, by the event identification circuitry, whether the user authentication event corresponds to an authentic event type. The example method further includes in an instance in which the user authentication event corresponds to the authentic event type, storing, by signature management circuitry, the signature and corresponding signature parameter set in a signature profile associated with the user within a signature corpus.