Handwritten Signature Authentication Using Multiple Algorithms

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Solution Overview

Problem

Existing handwritten signature authentication technologies face challenges in simultaneously reducing false rejection rates and false acceptance rates, making it difficult to accurately distinguish between genuine and forged signatures.

Innovation Solution

A method and apparatus that utilize multiple authentication algorithms to analyze handwritten signature behavioral characteristics, combining results to determine authentication success, and adjusting false rejection and acceptance rates by extracting sensitive characteristic information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a single authentication algorithm is used to reduce false rejection rate, then more genuine signatures are accepted, but false acceptance rate increases allowing forged signatures to pass

Engineering Contradiction:

Improvefalse rejection rateVSAvoidfalse acceptance rate

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent combines multiple authentication algorithms (image comparison method and behavior characteristic comparison method) into a unified authentication system. The controller integrates results from both algorithms to make the final authentication decision, thereby reducing both false rejection and false acceptance rates simultaneously. This merging approach allows the system to leverage the strengths of each individual algorithm while compensating for their respective weaknesses.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The authentication system is designed to perform multiple authentication functions using different algorithms. The controller can selectively apply image comparison, behavior characteristic comparison, or both methods depending on the authentication scenario, making the system versatile in handling various authentication requirements and reducing different types of errors.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If multiple authentication algorithms are used to improve accuracy, then both false rejection and false acceptance rates are reduced, but system complexity increases

Engineering Contradiction:

Improveauthentication accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The authentication system is segmented into distinct functional modules: an image comparison module, a behavior characteristic comparison module, and a controller that integrates their results. Each module operates independently with its own processing logic, making the overall system manageable despite its multi-algorithm nature. This segmentation allows for easier maintenance, debugging, and potential optimization of individual components.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12299095B2Method and apparatus for authenticating handwritten signature based on multiple authentication algorithms

Publication Date: 2025.05.13 SECUVE CO LTD

AI summary

According to the present disclosure, a handwritten signature to be authenticated is received, a plurality of pieces of signature behavioral characteristic information are extracted, all of the plurality of the pieces of the extracted signature behavioral characteristic information are applied to each of first and second signature authentication algorithms using different techniques to analyze a degree of matching between the received handwritten signature and a registered handwritten signature, results of analysis performed by the first and second signature authentication algorithms are combined to adjust a false rejection rate and a false acceptance rate, and whether handwritten signature authentication succeeds is finally determined.