Behaviometric Signature Authentication System and Method
a verification system and facial recognition technology, applied in the field of facial recognition security systems, can solve the problems of limiting the accuracy of the signature verification process, affecting and many known signature verification processes are susceptible to fraudulent users, so as to improve the accuracy of the verification process and mitigate the effect of scal
Inactive Publication Date: 2015-09-03
ARTIFICIAL INTELLIGENCE RES GRP LTD
View PDF11 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Benefits of technology
Enhances the security and accuracy of signature verification by mitigating fraud and providing a more robust method for digital identification, reducing the need for additional security measures in high-value transactions.
Problems solved by technology
Existing identity verification processes (also referred to as signature verification processes) often rely on signature verification and can be relatively insecure.
For example, in order to compensate for a human's inability to reproduce identical graphical copies of their signature, the image comparison is approximate, which can limit the accuracy of the signature verification process.
In addition, many known signature verification processes are susceptible to fraudulent users, as it is relatively straightforward for an expert forger to graphically reproduce a visually-similar signature that is capable of generating a false positive verification result.
Such verification systems are often inconvenient since they require that the user remember their unique alphanumeric identification code.
Certain existing electronic signature verification systems suffer from several shortcomings which limit their practical utility in identification verification systems, and compromise the level of security provided.
Electronic signature verification systems that are reliant on a statistical analysis of the graphical similarities between signatures may be susceptible to fraud by expert forgers capable of generating signature forgeries that are visually sufficiently similar to the signature template.
Therefore, when used as security devices, known electronic signature verification systems provide a limited level of security.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0053]The present invention relates, amongst other things, to a system and method for verifying behavioural biometric information derived from a user's signature.
[0054]FIG. 1 is a schematic illustration of one example of a behaviometric signature verification system 1 arranged to implement the present method. The system 1 comprises a device 3 suitable for receiving a signature, which device 3 will be referred to as a signature entry device in the following discussion; a display device 5, and a verification device 7. The signature entry device 3 may relate to any apparatus in which a user may provide a signature, and which is configured to monitor and record the time taken to receive the signature in addition to recording the stylised script associated with the signature, whilst it is being generated by the user. The display device 5 may be configured to display visual cues and / or instructions to the user for entering their signature, in addition to displaying signature verification ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The present invention discloses a method of verifying the authenticity of a provided signature, comprising the steps of: receiving a set of sampled data points, each sampled data point being associated with a different position along the signature; identifying a set of characterising nodes within the set of sampled data points using a set of predetermined characterising nodes comprised in a pre-stored user profile; determining if each identified characterising node lies within a predetermined threshold range of a corresponding predetermined characterising node; and generating a positive verification when the characterising nodes lie within the predetermined threshold range. A system arranged to carry out the method is also disclosed.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS[0001]The present application claims priority from GB Pat. App. No. 1304605.7 filed Mar. 14, 2013.FIELD OF INVENTION[0002]The present invention relates to biometric security systems, and in particular to a behaviometric signature verification system and method, that may be used for identification authentication purposes.BACKGROUND OF INVENTION[0003]Biometric authentication refers to the identification of humans by their characteristics or traits. Biometric identifiers are often categorised as physiological or behavioural. Physiological biometric identifiers relate to unique identifiers associated with an individual human's physiology. DNA and fingerprints are examples of such physiological biometric identifiers. Behavioural biometric identifiers relate to an individual's behaviourisms, such as gait and voice. The field of behavioural biometrics is commonly referred to as behaviometrics.[0004]Historically signatures have been used to authenticat...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & AuthorityApplications(United States)
IPC IPC(8): G06F21/64G06F21/32
CPCG06F21/32G06F21/64G06F2221/2113
InventorAVNI, YOSSISUCHARD, EYTAN
OwnerARTIFICIAL INTELLIGENCE RES GRP LTD