Signature Verification Using Proximity Touch Data
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Solution Overview
Problem
Current online signature verification methods lack the ability to effectively utilize proximity touch data, which can provide unique characteristics of a signature, leading to reduced accuracy and security in identifying authorized users on touch screen devices.
Innovation Solution
A method and apparatus that generate signature data from both touch and proximity touch events, extract features from this data, and authenticate the signature by comparing it to a reference signature, incorporating both real touch and proximity touch inputs to enhance verification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only traditional touch event data is used for signature verification, then the verification process is simple, but the accuracy and security of authentication are reduced
Solution Approach 1:
The patent combines traditional touch event data with proximity touch event data into a unified signature verification system. The generator component merges both data types to create comprehensive signature data that leverages the unique characteristics of proximity touching (hovering) in addition to traditional contact-based signing, thereby improving authentication accuracy without requiring a completely separate system
Solution Approach 2:
The verification system is designed to handle multiple types of input data (both touch and proximity touch events) through a unified processing framework. The extractor and authenticator components can process various data types universally, allowing the system to maintain simplicity while accommodating enhanced verification capabilities through multi-functional processing
2Reliability
If proximity touch data is incorporated into signature verification, then authentication security is improved, but the complexity of data processing increases
Solution Approach 1:
The patent segments the signature verification process into distinct functional components: a generator that collects both touch and proximity touch data, an extractor that processes the combined data to identify relevant features, and an authenticator that performs the final verification. This segmentation allows complex proximity touch data to be handled in manageable stages, reducing processing complexity while maintaining security
Solution Approach 2:
The extractor component serves as an intermediary between the raw proximity touch data and the authentication decision. It processes and transforms the complex proximity touch event data into meaningful features that can be easily compared and evaluated, thereby simplifying the overall data processing pipeline while preserving the security benefits of proximity touch information
Data Source
AI summary
A method and apparatus for verifying an input signature are provided. The method includes generating signature data based on a real touch event and a proximity touch event that occur on a touch input unit of and apparatus, extracting a feature of the input signature based on the signature data, and determining whether to authenticate the input signature based on a similarity between the feature of the input signature and a corresponding feature of a previously stored reference signature.