Methods for preventing or treating motor-related neurological conditions include using ocular light therapy in connection with a conventional therapy for a motor-related neurological condition, such as a drug regimen, to adjust levels of melatonin and/or dopamine in the body of a subject. The ocular light therapy may include elevated levels of blue-green light or green light (e.g., light within a wavelength range of 460 nm to 570 nm, 490 nm to 570 nm, about 520 nm to 570 nm, etc.). The ocular light therapy may also include reduced levels of amber, orange and/or red light. Methods for diagnosing motor-related neurological conditions include use of ocular light therapy to cause a subject to temporarily exhibit one or more symptoms of any motor-related neurological condition to which the subject is predisposed, or which the subject may already be experiencing. A temporary increase in such symptoms may be effected by ocular administration of light including increased amounts of amber, orange and/or red light.

A system and method for preserving privacy of evidence are provided. In the method, an encrypted first image is generated by encrypting a first image acquired at a first location with a symmetric cryptographic key that is based on first information such as a license plate number extracted from the first image and first metadata associated with the first image, such as a time at which the first image was acquired. When a link is established between a second image and the first image, for example, through visual signature matching, the symmetric cryptographic key can be reconstructed, without having access to the first image, but based instead on the first metadata and information extracted from the second image. The reconstructed symmetric cryptographic key can then be used for decryption of the encrypted image to establish evidence that the license plate number was indeed extracted from the first image.

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. The geometric features may further comprise values derived from the geometric parameters, such as direction and curvature values. The handwriting verification result can be further based on a count of unlinked feature points. Handwriting-based user authentication methods can employ such handwriting verification methods, or other handwriting verification methods.

Remote deposit of checks can be facilitated by a financial institution. A customer's general purpose computer and image capture device may be leveraged to capture an image of a check and deliver the image to financial institution electronics. Additional data for the transaction may be collected as necessary. The transaction can be automatically accomplished utilizing the images and data thus acquired.

A method implemented on a visual computing device to authenticate one or more users includes receiving a first three-dimensional pattern from a user. The first three-dimensional pattern is sent to a server computer. At a time of user authentication, a second three-dimensional pattern is received from the user. The second three-dimensional pattern is sent to the server computer. An indication is received from the server computer as to whether the first three-dimensional pattern matches the second three-dimensional pattern within a margin of error. When the first three-dimensional pattern matches the second three-dimensional pattern within the margin of error, the user is authenticated at the server computer. When the first three-dimensional pattern does not match the second three-dimensional pattern within the margin of error, user is prevented from being authenticated at the server computer.

A method for rendering visible security information of a digitally stored image which has a plurality of pixels and at least one piece of digitally coded information comprises at least the following steps: allocating at least some of the pixels to at least one image region; determining an average color value of the pixels allocated to the image region; determining two mutually complementary color values whose average color value is at least approximately identical to the determined average color value of the pixels allocated to the image region; depicting the image region and at least part of the digitally coded security information in a visually perceptible manner. The depicted image region thereby has a first of the mutually complementary color values. The part of the digitally coded security information is depicted within the image region and has a second of the mutually complementary color values.

Technologies are described for automatically identifying handwritten signatures within digital images using OCR residues. For example, a digital image of a scanned document is received. The scanned document comprises typewritten content and handwritten content. Optical character recognition (OCR) is performed on the digital image to identify typewritten text within the digital image. Pixel areas containing the identified typewritten text are removed from the digital image. Density-based clustering is performed on the digital image to cluster remaining pixel data and generate candidate segments. The candidate segments are then processed using a trained image classifier to determine if they contain handwritten signatures.

Methods for preventing or treating motor-related neurological conditions include using ocular light therapy in connection with a conventional therapy for a motor-related neurological condition, such as a drug regimen, to adjust levels of melatonin and/or dopamine in the body of a subject. The ocular light therapy may include elevated levels of blue-green light or green light (e.g., light within a wavelength range of 460 nm to 570 nm, 490 nm to 570 nm, about 520 nm to 570 nm, etc.). The ocular light therapy may also include reduced levels of amber, orange and/or red light. Methods for diagnosing motor-related neurological conditions include ocular administration of increased amounts of amber, orange and/or red light to cause a subject to temporarily exhibit one or more symptoms of any motor-related neurological condition to which the subject is predisposed, or which the subject may already be experiencing.

A device receives information indicating first names and last names of individuals and applies different cursive fonts to each of the first names and the last names to generate images of different cursive first names and different cursive last names. The device applies different transformations to the images of the different cursive first names and the different cursive last names to generate a set of first name images and a set of last name images. The device combines each first name image with each last name image to form a set of signature images and trains a neural network model, with the set of signature images, to generate a trained neural network model. The device receives an image of a signature and processes the image of the signature, with the trained neural network model, to recognize a first name and a last name in the signature.

A system and a method are disclosed for enabling pictorial content to be added to a secure document. In an embodiment, a secure document tool receives a request, from an administrator of the secure document, to enable modification of a region of the secure document with an addition of pictorial content, the secure document configured to prevent modification of contents of the secure document by a signer, the secure document enabled to accept a signature on the secure document by the signer. The secure document tool receives, from the signer, a command to add pictorial content to the region, and responsively adds the pictorial content to the region. The secure document tool receives from the signer, a signature on the secure document, and responsively disables the secure document from accepting further modifications.