Onsite Signature Verification Using Embedded Reference Samples
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing signature and handwriting verification technologies face challenges in real-time accuracy and efficiency, particularly in scenarios lacking access to historical authentic samples, making them vulnerable to fraudulent activities.
Innovation Solution
Encoding authentic signatures and handwriting samples directly onto writable documents, using neural networks to transform and embed them as machine-readable codes, enabling real-time comparison and verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional signature verification methods are used without historical authentic samples, then the system can operate in real-time, but the accuracy and reliability of verification deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-encoding authentic reference writing samples directly onto the document before the actual writing occurs. This allows the verification system to have immediate access to authentic samples for comparison, eliminating the need to rely on historical databases while maintaining high verification accuracy in real-time.
Solution Approach 2:
The patent introduces an intermediary mechanism - a encoding device that embeds reference writing samples onto the document. This intermediary captures and stores authentic writing patterns directly on the document, serving as a local reference that enables accurate real-time verification without external databases.
2Reliability
If reference writing samples are embedded onto documents, then verification accuracy improves, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing a multi-functional system where the encoding device can capture writing samples, encode them into compact representations, and embed them directly onto documents. This single device performs multiple functions that would otherwise require separate systems, reducing overall complexity while maintaining verification accuracy.
Solution Approach 2:
The patent applies parameter changes by transforming the reference writing samples from their original form into encoded representations with different parameters (compressed, encrypted, or formatted data). This transformation reduces the complexity of storing and processing reference samples while preserving the essential verification characteristics.
3Reliability
If writing samples are captured and stored for verification, then verification reliability improves, but the loss of time in processing increases
Solution Approach 1:
The patent applies preliminary action by capturing and encoding reference writing samples in advance, before they are needed for verification. The samples are pre-processed and stored in an optimized format, so that during actual verification, the system only needs to perform a quick comparison rather than extensive processing, significantly reducing processing time while maintaining reliability.
Data Source
AI summary
A method and system for writable document forgery detection that includes encrypting a reference writing sample, compressing the reference writing sample, embedding the reference writing sample onto the writable document, receiving the writable document, the writable document including a handwritten segment, encrypting the handwritten segment of the received writable document, comparing the encrypted reference writing sample to the encrypted handwritten segment, and assessing a likelihood of the encrypted reference writing sample and the encrypted handwritten segment being written by a same person based on the comparison.