Handwriting verification methods and related computer systems, and handwriting-based user authentication methods and related computer systems are disclosed. A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an x-position value and a y-position value for each of a plurality of feature points in the test sample, performing feature matching between geometric features of the test sample and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification result. Techniques and tools for generating and preserving electronic handwriting data also are disclosed. Raw handwriting data is converted to a streamed format that preserves the original content of the raw handwriting data. Techniques and tools for inserting electronic handwriting data into a digital image also are disclosed.

A system and method for remotely generating an original signature provided by a signatory as a user of a first mobile device are disclosed. According to one embodiment, the system comprises a cloud server having a signature transmission API, and a video stream module configured to facilitate a live video stream. The system further includes a pen plotter having a plotter controller communicatively coupled to the cloud server by the signature transmission API. The pen plotter has a mechanical arm configured to receive an ink pen, and a video capture device communicatively coupled to the video stream module of the cloud server and configured to capture video of the pen plotter and transmit to the video stream module.

Handwriting verification methods and related computer systems, and handwriting-based user authentication methods and related computer systems are disclosed. A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an x-position value and a y-position value for each of a plurality of feature points in the test sample, performing feature matching between geometric features of the test sample and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification result. Techniques and tools for generating and preserving electronic handwriting data also are disclosed. Raw handwriting data is converted to a streamed format that preserves the original content of the raw handwriting data. Techniques and tools for inserting electronic handwriting data into a digital image also are disclosed.

A customer engages in a transaction at a Point-Of-Sale (POS) terminal, which necessitates obtaining a signature from the customer to complete the transaction. A device integrated or interfaced to the POS terminal electronically captures one or more gestures made by the customer in the air representing a signature of the customer. The device processes one or more images or video representing the gestures into the signature and records the signature to complete the transaction.

At least one contemporaneous signature image is captured while a user generates an electronic signature for a document. When one or more contemporaneous signature images maps to a verification image, signature data representative of an electronic signature is associated with the document.

Embodiments of the invention are generally directed to systems, methods, devices, and machine-readable mediums for implementing gesture-based signature authentication. In one embodiment, a method may involve recording a first gesture-based signature and storing the recorded first gesture-based signature. Then the method compares the first gesture-based signature with a second gesture-based signature. Then the method verifies the first gesture-based signature as authentic when the first gesture-based signature is substantially similar to the second gesture-based signature.

The present invention is directed to a computer application for analyzing handwriting. The handwriting is digitized by being captured by a computing device such as a tablet. The application analyzes four components of the digitized handwriting. The initial component provides real-time writing speed feedback to the subject. The second fully automated component computes a variety of kinematic measures based on periods of time when the subject is writing versus the pen being off the tablet. A third component is able to concatenate pen strokes into user defined characters and assesses character and/or word spacing based on preset distances. For the fourth component, a 2-dimensional version of the large deformation diffeomorphic metric mapping (LDDMM) method is used to compare each character to a template character. Together, these components can be used to assess handwriting for a broad range of applications.

At least one contemporaneous signature image is captured while a user generates an electronic signature for a document. When one or more contemporaneous signature images maps to a verification image, signature data representative of an electronic signature is associated with the document.

A position detection apparatus includes a sensor that detects a position pointed to by an electronic pen and circuitry that acquires pen state information regarding the electronic pen held by a person; a transmitter that transmits to an emotion estimation apparatus an emotional state estimation request including the acquired pen state information, the emotion estimation apparatus including a database that stores information regarding an emotional state of the person holding the electronic pen and range information regarding a range of values that may be taken by the pen state information regarding the electronic pen, the emotional state and the range information being associated with one another; and a processor that receives information corresponding to the emotional state transmitted from the emotion estimation apparatus in response to the pen state information included in the transmitted emotional state estimation request, and performs processing using the received information corresponding to the emotional state.

Embodiments of the invention are generally directed to systems, methods, devices, and machine-readable mediums for implementing gesture-based signature authentication. In one embodiment, a method may involve recording a first gesture-based signature and storing the recorded first gesture-based signature. Then the method compares the first gesture-based signature with a second gesture-based signature. Then the method verifies the first gesture-based signature as authentic when the first gesture-based signature is substantially similar to the second gesture-based signature.