Signature Verification Platform Locale Classification Engine
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Solution Overview
Problem
Signature verification platforms face challenges in achieving optimal verification rates across multiple regions and locales due to the difficulty in adjusting parameters to suit diverse signature styles, leading to suboptimal false acceptance and rejection rates.
Innovation Solution
A signature verification platform that employs an AI/machine learning-based system with a locale classifying engine, parameter profile generating section, and verification engine to classify signature styles and select appropriate verification profiles, along with a signature seed variant generating section to generate alternative signatures and a template generating section to improve verification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a general set of parameters is selected to maximize verification accuracy in multiple regions, then the platform can be deployed globally, but the verification rate cannot be optimized for each specific region or locale
Solution Approach 1:
The patent segments the verification parameters into locale-specific profiles (e.g., Asian-style, Western-style signature parameters) and uses a locale classification engine to automatically identify and apply the appropriate parameter set based on the detected signature style, enabling both global deployment and localized optimization
Solution Approach 2:
The system dynamically adjusts verification parameters by detecting the signature style in real-time and switching between different parameter profiles, rather than using a static general parameter set, thereby adapting to different locales while maintaining global operability
2Measurement precision
If parameters are adjusted to suit particular user locales, then verification accuracy improves for that locale, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting the signature locale/style and selecting the appropriate parameter profile without requiring manual configuration or user input, thereby maintaining high verification accuracy while minimizing operational complexity
Solution Approach 2:
The patent pre-configures multiple locale-specific parameter profiles in advance, so that when a signature is received, the system can immediately select from pre-prepared options rather than performing complex real-time parameter optimization
3Measurement precision
If template-based GSV technology is used to collect sufficient data and generate signature profiles, then verification rates improve, but the system requires a considerable number of registration sessions before profiles are generated
Solution Approach 1:
The patent applies preliminary action by pre-generating locale-specific parameter profiles based on signature style classification before actual verification begins, eliminating the need to collect extensive registration data and wait for profile generation
Solution Approach 2:
The system extracts the essential verification parameters from locale classification rather than requiring extensive training data collection, taking out only the critical style-based parameters needed for immediate verification
Data Source
AI summary
A signature verification platform includes: a locale classifying engine configured to decide a style of a signature by applying machine learning-based classification techniques to the signature that is input to the locale classifying engine; a parameter profile generating section configured to select a verification profile which suits the style decided by the locale classifying engine; and a verification engine configured to verify the signature using the verification profile selected by the parameter profile generating section.