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Procedure by software for evaluating the joint authorship of a handwritten signature set

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOES20210618001
Publicado:
13/07/2021
Caducidad:
14/07/2022
Resumen:
A Spanish university has developed software capable of verifying if handwritten signatures in different documents belong to the same author or not. The novelty of this software is that it does not require any reference signatures to work. This is a critical aspect for forensic handwriting experts. The university is interested in establishing commercial agreements with technical assistance and licensing agreements.

Details

Tittle:
Procedure by software for evaluating the joint authorship of a handwritten signature set
Summary:
A Spanish university has developed software capable of verifying if handwritten signatures in different documents belong to the same author or not. The novelty of this software is that it does not require any reference signatures to work. This is a critical aspect for forensic handwriting experts. The university is interested in establishing commercial agreements with technical assistance and licensing agreements.
Description:
The university research group has previous experience in pattern recognition, document analysis and handwriting recognition, and has develop a software for validating handwritten signature.

Handwritten signature is the most widely used system in the world as a means of authentication, having legal acceptance. Hence, the importance of reliability in methods and systems for automatic verification of the signature.

Currently, there are two methods for signature verification: The online method, when the process is carried out while the user is signing, which allows to have extra data, such as pressure, speed, starting and ending point of the strokes, etc.; and the off-line method, in which the verification is carried out later, once the user has finished signing, so the verification process is more complicated.

In both cases, the systems require storing undoubted signatures; that is, signatures that have been made previously by the original signer.

The main difference of the solution proposed by the University, with respect to others that already exist in the market, is that the system does not require storing undoubted signatures. Instead, given a set of documents signed, once the signatures have been extracted, this system is capable of verifying if the handwritten signatures belong to the same author or not.

The system is useful in massive digitization tasks, in which large volumes of information are handled and there is a need to add a layer of security in the document storage procedure by common authorship verification without missing a beat or being affected by the GDPR (General Data Protection Regulation (EU) 2016/679)
The university is interested in commercial agreement with technical assistance and licensing agreement, and seeks:
· Companies that develop applications for document management and forensic consultancies in copy documents.
· Companies in the sector that develop their own products could also be interested.
· Forensic Handwriting Examiners.
Advantages and Innovations:
The system improves security in document management without the need to store undoubted signatures.
Stage of Development:
Under development/lab tested
IPs:
Patents granted
CommeR Statunts Regarding IPR Status:
The procedure was patented

Partner sought

Type and Role of Partner Sought:
Companies in the field of: document management, forensic consultancies in copy documents.
The software needs to be adapted from the software developed by the researchers to low-level software and integration into the systems of the interested company.
The university in collaboration with the company/customer will do the system adaptation

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English
Spanish

Keywords

Technology Keywords:
01003002 Archivado / documentación / documentación técnica
01003003 Artificial Intelligence (AI)
01003019 Electronic Signature
01003023 Environmental and Biometrics Sensors, Actuators
01003012 Imaging, Image Processing, Pattern Recognition