Handwriting Authentication Profiles for Emergency Identity Verification
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Solution Overview
Problem
Existing consumer and user authentication methods, such as PINs, passwords, and fingerprints, are inadequate as secondary authentication mechanisms and fail in emergency situations, necessitating new and diverse authentication options.
Innovation Solution
An identity verification system that analyzes and stores unique handwriting characteristics, creating a 'handwriting fingerprint' for individuals, which is used to authenticate users through analysis of their handwriting on documents or signature pads, particularly in emergency situations or when other authentication methods are unavailable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (PIN, password, fingerprint) are used, then authentication is straightforward and familiar to users, but these methods fail when compromised or unavailable in emergency situations
Solution Approach 1:
The system changes the authentication parameter from memorized information (PIN, password) or biometric data (fingerprint) to behavioral characteristics (handwriting patterns). By analyzing multiple handwriting parameters such as stroke pressure, speed, direction, and formation patterns, the system creates a robust authentication mechanism that is both reliable and adaptable to emergency situations where traditional credentials may be unavailable.
2Adaptability or versatility
If handwriting analysis is implemented for authentication, then new authentication options are provided for emergency situations and secondary verification, but the system complexity increases
Solution Approach 1:
The system creates a digital copy or model of the user's handwriting characteristics by analyzing multiple samples and extracting key parameters. This handwriting template is stored and used for future authentication comparisons. By copying the essential characteristics rather than requiring complex real-time analysis, the system reduces computational complexity while maintaining authentication diversity and reliability.
3Measurement precision
If multiple handwriting samples are collected and analyzed to create authentication profiles, then authentication accuracy is improved, but data processing time and storage requirements increase
Solution Approach 1:
The system performs preliminary analysis by collecting and processing multiple handwriting samples in advance to create an authenticated profile or template. This template captures the essential handwriting characteristics and is stored for rapid comparison during actual authentication events. By doing the heavy lifting of analysis beforehand, the system achieves high authentication accuracy while minimizing processing time during critical authentication moments.
Data Source
AI summary
Various embodiments herein each include at least one of systems, methods, and software for identity verification. Some such embodiments identify a user based on analysis of their handwriting. Some such embodiments may be utilized to authenticate an individual, for emergency authentication or when other authentication solutions are not available, as one of a two or more step authentication process, authenticating checks, authenticating a signature or other handwriting on another document, and the like. One embodiment, in the form of a method, includes storing a set of handwriting characteristics of an individual identified during processing of a plurality of handwriting samples of the individual. The method may then determine whether an input handwriting sample is handwriting of the individual based on the stored set of handwriting characteristics of the individual and then output a result of the determining.