305results about "Signature reading/verifying" patented technology

A biometric and identity enrollment kiosk for collecting personal data includes a slidable main module and at least one modifiable section removably coupled to the main module. The main module includes a processor and one or more biometric sensing devices coupled to the processor. The one or more biometric sensing devices include a right fingerprint sensor coupled to the processor and a left fingerprint sensor coupled to the processor. The right fingerprint sensor is positioned proximate a right end of the main module and the left fingerprint sensor is positioned proximate a left end of the main module. The right fingerprint sensor is positioned a predetermined distance apart from the left fingerprint sensor. The at least one modifiable section includes at least one first input device coupled to the processor.

The invention features a system and method for automatically discriminating between different types of data, such as a barcode and a signature, with an image reader. In brief overview of one embodiment, the automatic discrimination feature of the present image reader allows a human operator to aim a hand-held image reader at a target containing a dataform, a signature, or another data type and actuate the trigger on the image reader. An autodriscrimination module in the image reader in one embodiment analyzes image data representative of the target and determines whether the target contains a dataform, a signature, or another type of data. If the target contains a dataform, the image reader decodes the dataform and outputs decoded dataform data, such as the alphanumeric sequence encoded by a barcode. If the target contains a signature, the image reader captures or stores a representation of the signature.

The method for identity verification employs biometric technology. Positioned at the center of the system is a stylus with any of a number of biometric properties or their combination or with one or more metric sensors, while the customer uses the stylus to sign his/her name, or even for writing anything. The identity verification system is used at point-of-sale terminals, in various closed environments, to access a computer network, in applications involving pen-based computers and smart-pens, and for e-commerce. When fingerprint sensors are used, the sensors are positioned in the stylus grip, one sensor for the index finger, and a second sensor for the thumb. In one variation, one-to-one biometric matching is used. Each participant carries on his/her person a device that includes an encrypted biometric for reference purposes to gain access Into the system. Processing is simplified since the system need only make a “MATCH” or “NO MATCH” decision. In a second variation that is particularly useful in closed environments, one-to-many biometric matching is used. During each event access request, the community of reference prints is searched for a match with the applicant. Each member of the community need carry nothing on his/her person to participate in the system. In either variation, the stylus is either attached to each site or is portable, one such stylus being carried by each participant.

The method for identity verification employs biometric technology. Positioned at the center of the system is a stylus with any of a number of biometric properties or their combination or with one or more metric sensors, while the customer uses the stylus to sign his/her name, or even for writing anything. The identity verification system is used at point-of-sale terminals, in various closed environments, to access a computer network, in applications involving pen-based computers and smart-pens, and for e-commerce. When fingerprint sensors are used, the sensors are positioned in the stylus grip, one sensor for the index finger, and a second sensor for the thumb. In one variation, one-to-one biometric matching is used. Each participant carries on his/her person a device that includes an encrypted biometric for reference purposes to gain access Into the system. Processing is simplified since the system need only make a “MATCH” or “NO MATCH” decision. In a second variation that is particularly useful in closed environments, one-to-many biometric matching is used. During each event access request, the community of reference prints is searched for a match with the applicant. Each member of the community need carry nothing on his/her person to participate in the system. In either variation, the stylus is either attached to each site or is portable, one such stylus being carried by each participant.

A payment product has a writing area (6c) which is intended for a user's signature. In the writing area there is a first position-coding pattern (5) which makes possible digital recording of the signature. The first position-coding pattern is a subset of a larger second position-coding pattern.

The payment product is used in a payment system which is based on electronic payment information, which has been recorded by means of the position-coding pattern, being sent to a server unit, which utilizes the position-coding pattern to check that the payment information is valid.

A credit-card reader having a built-in digital camera for capturing a template signature and an email address on a credit card. The email address is identified by an optical character recognition program and input to an email system. A test signature is entered on a touch-pad input device and both the test and the template signatures are normalized and displayed for verification. Action buttons are provided on the display screen for enforcing the signature verification actions. The system enables the transmission of an electronic receipt selectively controlled by the customer and eliminates the needs of physically handling a credit card for signature verification and manual input or pre-registration of an email address for an electronic receipt. The computer-assisted features enables a central system of signature verification for purchase transactions at self-service check-out counters.

Methods and systems are provided for analyzing and assessing documents using a handwriting profile for documents, such as a payment instrument. A method may include providing one or more documents to a computer system. In one embodiment, handwriting profile representations may be determined for information fields of the document. The determination may use handwriting from at least one of the information fields of the documents. In some embodiments, handwriting profile representations may be updated from one or more additional documents. In certain embodiments, a document may be provided to a computer system for assessment. Assessment may include comparing handwriting in the information fields of the document to handwriting profile representations from information fields of at least one other document. In an embodiment, the method may include assessing fraud in the document using at least one of the comparisons.

A signature verification method involves segmenting a smoothed and normalized signature and, for each segment, evaluating at least one local feature, thereby to obtain a feature-value vector. The method further includes computing the likelihood that the segments having the observed sequence of feature values were generated by a particular hidden Markov model, such model comprising a sequence of states having duration probabilities and feature-value histograms. In one aspect, the invention involves explicit state-duration modeling to account for duration in the respective states underlying the unknown signature. In another aspect, the invention involves computing a measure of signature complexity, and setting the number of states of the hidden Markov model according to such complexity measure.

In an authentication input apparatus, an input unit is a surface for inputting data of an input device such as a pressure sensitive sensor. The input device may also be an optical sensor such as a CCD. The input unit receives from a user input of a fingerprint, a signature or the like. In inputting the signature, the input unit functions as a tablet for inputting signatures utilizing a stylus equipment or the like. In inputting the fingerprint or the signature the user specifies the type of authentication information to be inputted by pressing a fingerprint selection button or a signature selection button. Fingerprint data are obtained by the input device when the user puts the finger on the input unit after pressing the fingerprint selection button. Signature data are obtained by the input device when the user signs on the input unit 10 after pressing the signature selection button.

The invention is of an "elastic matching" method for comparing one signature against another, comprising the operations of creating a mapping between corresponding points in two signatures to be compared measured at different times after the commencement of writing the signatures which maximizes the correlation between the local spatial neighborhood of the measured points and simultaneously minimizes the curvature of the elastic spatial distortion from the mapping, providing quantitative measures of both the degree of the spatial correlations and the degree of the non-uniform spatial distortions in the mapping, thereby providing measures of the similarity between the signatures.

The method discloses: scanning an original copy of a handwritten identifier; comparing the identifier to a set of prerecorded identifiers; adding the identifier to the set of prerecorded identifiers, if the identifier shares less than a predetermined similarity with any identifier within the set of prerecorded identifiers; linking the identifier to a set of information; scanning the original copy a second time; matching the second scan of the original copy with the first scan of the original copy; and retrieving the set of information in response to the matching. The system discloses: a computer system; a handwritten identifier; an imaging device for scanning an original copy of a handwritten identifier; an image processing and matching module for comparing the identifier to a set of prerecorded identifiers; a linking module for linking the identifier to a set of information.

A method is provided of a bank processing a check in an automatic signature verification system. The method comprises receiving a check image having a payor's signature, extracting the payor's signature from the check image, comparing the extracted payor's signature with a reference signature, providing a confidence value based upon the comparison of the extracted payor's signature with the reference signature, selecting one of a plurality of confidence threshold values based upon amount of the check, and comparing the confidence value with the selected confidence threshold value to determine if payment of the check amount is approved.

Disclosed are a method, an apparatus, and a computer recording medium for video-based handwriting input for biometric Signature Data Collecting. The invention is implemented by finding out all of the relative positions among all light points of light sources when all light sources mounted on a stylus are turned ON; capturing an image including effective strokes and digital data of pen pressure with a digital camera, when a user writes on a writing surface with a stylus having a light source (e.g. LED) indicating x-y coordinates of strokes, said images are time-stamped; wherein the stylus comprising a micro-switch, when the stylus touches the writing surface, the micro-switch is turned on to let the light source indicating x-y coordinates of strokes ON and generate a “light point”; and extracting effective stroke images and digital data of pen pressure by comparing the captured images with the light point on the stylus. Moreover, the invention discloses a low-cost, wireless method and apparatus for handwriting input which enables a user to write on a paper without a touch sensor provided for a computer system equipped with an embedded digital camera.

A method for identifying persons based on biometric data achieves enhanced security and increased accuracy compared with other systems by distorting one or more biometrics prior to detection and recognition. The method includes detecting a distorted biometric for input into an identification system, comparing the distorted biometric to one or more distortion patterns, and determining an identity of the person based on results of the comparison. The biometric may be an eye pattern, a fingerprint or palm print, a voice print, a handwriting sample, a DNA sample, a facial image, or any other type of characteristic or behavioral attribute of a person. The biometric may be distorted in any one of a variety of ways for comparison to previously enrolled biometrics which have been distorted using the same or similar element. A system and program embodied within a computer-readable medium performs the steps of the method.