The invention relates to the field of providing a trusted environment for executing an analogue-digital signature. The claimed document-signing device in the form of a stylus includes a protective compartment, in which the following are disposed: a microcontroller with a programme code; a memory with a secret digital signature key; and additionally inertial sensors, which are connected to the microcontroller; a lens; and a camera, which is also connected to the microcontroller. A wireless interface is used in order to communicate with a computer. The inertial sensors serve to verify the handwritten signature of the user, while the lens and camera serve to carry out a comparison with the text of an electronic document uploaded via the wireless interface. In this way it is ensured that verified information enters the trusted environment of the stylus.

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.

Methods and systems for adaptive, template-independent handwriting extraction from images using machine learning models and without manual localization or review. For example, the system may receive an input image, wherein the input image comprises native printed content and handwritten content. The system may process the input image with a model to generate an output image, wherein the output image comprises extracted handwritten content based on the native handwritten content. The system may process the output image to digitally recognize the extracted handwritten content. The system may generate a digital representation of the input image, wherein the digital representation comprises the native printed content and the digitally recognized extracted handwritten content.

A handwriting input apparatus that displays stroke data handwritten based on a position of an input unit contacting a touch panel, includes circuitry configured to implement a handwriting recognition control unit for recognizing stroke data and converting the stroke data into text data, and an authentication control unit for authenticating a user based on the stroke data, and a display unit for displaying a display component for receiving a signature together with the text data when the authentication control unit determines that a user has been successfully authenticated.

A method and computing apparatus for extracting information from a document are provided. The method includes receiving a document, extracting data from the document, assigning the document to a category from among a predetermined plurality of categories based on a result of the extracted data, and generating a structured output by formatting the extracted data based on the assigned category.

Systems, apparatuses, methods, and computer program products are disclosed for authenticating handwriting on paper-based documents. An example method includes receiving, by an embedded chip device, handwriting information from a signature device in communication with the embedded chip device. The example method further includes transmitting, by the embedded chip device, document identification information to the signature device. The example method further includes receiving, by the embedded chip device, authentication information from the signature device. Subsequently, the example method includes storing, by the embedded chip device, the handwriting information and the authentication information as handwriting authentication metadata in association with the document identification information.

A method and system of signature verification that includes receiving a signature-in-question, extracting at least one of an image of the signature-in-question and a trajectory of the signature-in-question from the received signature-in-question, accessing a reference signature, extracting at least one of a reference image and a reference trajectory from the accessed reference signature, comparing the at least one of the image of the signature-in-question and trajectory of the signature-in-question to the at least one of the reference image and reference trajectory, and determining whether signature-in-question is authentic based on the comparison.

Provided are an augmented handwritten signature authentication method and an electronic device supporting the same, the method including: receiving a primary touch input corresponding to a primary handwritten signature input of a user; receiving, after the primary handwritten signature input is received and a specified time period elapses, a secondary mark input of the user; obtaining primary touch position data corresponding to the primary touch input, and the secondary mark input; and performing user authentication by comparing the primary touch position data corresponding to the primary touch input and secondary touch position data related to at least part of the secondary mark input with prestored primary touch registration data and secondary touch registration data, respectively.

A document management system performs name matching operations to validate an identity claimed by a recipient of a document. To validate a claimed identity the document management system compares name data obtained from an identity data source with name data corresponding to a recipient entity of a document to determine whether name features of the identity source name data match recipient name data. The name matching operations may include applying a set of name matching rules to the identity source name data and the recipient name data to determine whether features that differ between the identity source name data and the recipient name data are acceptable alternative representations. Responsive to successfully validating the identity, the system may authorize the recipient to perform actions on the document. Identity source name data may be received from a variety of identity data sources, such as an identity document or a trusted service provider.

A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; perform a dilating transformation via convolution matrix on the digital image to obtain a modified image; determine a plurality of regions of connected markings in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine whether any region contains any handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.