A system and method for generating a limited edition of a signed object for an artist are disclosed. The system may include: 1) an electronic database storing electronic data representative of a plurality of handwritten signatures and a plurality of handwritten numbers of the artist associated with an artist ID; 2) a signing component; and 3) a server comprising a processor configured to: a) detect or receive an object for signing; b) determine signature information regarding the object; c) determine and obtain a composition of a composite signature, the composite signature comprising a handwritten signature, the edition number associated with the object, and the total number of limited editions of the object; d) determine a location and a size for the composite signature; and e) apply the composite signature on the object, by the signing component, based on the determined location and size of the composite signature.

The present disclosure relates to a handwritten signature authentication system and method and, more particularly, to a time-division handwritten signature authentication system and method, in which handwritten signature authentication is performed by handwritten signature characteristics information based on segment blocks including segments divided by a predetermined time slice.

A method for matching signatures based on motion signature information including acquiring a first signature and at least one second signature that are to be matched, wherein the first signature and the second signature are generated based on a motion object's motion signature information; and matching the first signature and the second signature based on the motion signature information to obtain a corresponding match result.

Provided is a segment-based handwritten signature authentication system and method and, more specifically, to a segment-based handwritten signature authentication system and method, in which handwritten signature authentication based on segments is performed by using handwritten signature characteristics information based on segments disjointed by a user's signing behavior.

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.

The present disclosure relates to a handwritten signature authentication system and method. More particularly, the present disclosure provides a system and method of authenticating a handwritten signature based on dynamic movement tracking of spatial-division segments, in which handwritten signature authentication is performed by handwritten signature characteristics information (i.e. overall handwritten signature block characteristics information (Q), overall spatial-division segment block characteristics information (V), overall spatial-division segment block position information (P) including sub-segment block position information, and overall spatial-division segment block correlation characteristics information (C), spatial-division segment dynamic behavioral characteristics information, overall segment dynamic behavioral characteristics information, segment transition dynamic behavioral characteristics information generated during a segment transition while the handwritten signature is made, and an overall segment transition dynamic behavioral characteristics information) based on spatial-division segment blocks including handwritten signature images (referred to as segments or segment images) divided by a spatial unit.

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.

A method, apparatus and product for items identification and search on the scene are disclosed. It comprises Fluorescent Marker and Fluorescent Marker Reader. Florescent Marker further comprises a Plurality Dynamic Fluorescent Entities enclosed in a Transparent Solid Medium, wherein the said medium is built into the item under consideration. The said Fluorescent Marker Reader further comprises Activator used to illuminate the said. Fluorescent Marker Reader further comprises Camera used to capture the response from the said Plurality of dynamic fluorescent entities, Activator generating activating light pulses, Visualizing Screen and Computation Unit. The latter controls the said Activator, Camera, Visualizing Screen and matches dynamic/spectral response against previously stored pattern thus identifying the said item or locating it on the scene.

A method for training a classifier for authenticating signatures hand-drawn on an electronic input element includes receiving a set of multiple signature properties of each of multiple signatures documented over a time range of a common user, each set of multiple signature properties is associated with a time period during which a respective signature was documented at the time range, wherein the plurality of signatures were hand-drawn and digitally recorded using an electronic input element; generating a signature authenticating classifier for authenticating additional signatures of the common user based on the set of multiple signature properties of each of the plurality of signatures, wherein a weight assigned to each the set of multiple signature properties or a portion thereof decreases overtime, the weight is used for the generation of the classifier; and providing the signature authenticating classifier for authenticating the additional signatures

The present invention provides a computer implemented method, a system, and a computer program product for verifying a writing of a user. In an exemplary embodiment, the present invention includes in response to receiving a writing on a pressure sensing touchpad logically coupled a computer system, recording a position and a pressure of one or more points of the writing via a pressure sensing touchscreen, executing a set of logical operations normalizing the writing, comparing the normalized writing to one or more stored writing parameters, executing a set of logical operations determining the normalized writing is within a tolerance of writing parameter deviation limits, thereby verifying the writing, and in response to determining the writing is within the tolerance of writing parameter deviation limits, storing, by the computer system, a value indicating that the writing is valid.