The APPARATUSES, METHODS AND SYSTEMS FOR A VIDEO REMOTE DEPOSIT CAPTURE PLATFORM (hereinafter RDC-Video) provides a platform for remote deposit by obtaining images of a check from streaming video captured by a video camera, wherein the RDC-Video transforms captured check images and/or entered check deposit information inputs via RDC-Video components into deposit confirmation outputs. For example, in one embodiment, a user may employ a personal computer connected to a web camera, and/or a smartphone with a built-in camera to initiate the remote deposit by holding a check in front of the camera, and the RDC-Video may capture images of the check and send them to a financial institution for deposit processing.

A method for detecting a document edge is provided. The method includes: obtaining multi-color channel data of each pixel in a color image (103), where the multi-color channel data includes two-dimensional coordinate values of the pixel and a value of the pixel on each color channel; performing line detection on the multi-color channel data of each pixel in the color image (105); and detecting a quadrilateral based on preset condition and some or all of straight lines obtained by performing the line detection (107). According to the foregoing method, a success rate of detecting a document edge can be increased.

Systems and methods for detecting and aligning land property boundaries on aerial imagery are provided. The system receives an aerial imagery having land properties. The system applies a feature encoder having a plurality of levels to the aerial imagery. A first level of the plurality of levels includes a convolution block and a discrete wavelet transform layer. The discrete wavelet transform layer decomposes an input feature tensor to the first level into a low-frequency band and a high-frequency band. The high-frequency band is cached and processed with side-convolutional blocks before the high-frequency band are passed to a feature decoder. The system applies the feature decoder to an output of the feature encoder based at least in part on one of inverse discrete wavelet transform layers. The system determines boundaries of the one or more land properties based at least in part on a boundary cross-entropy loss function.

The APPARATUSES, METHODS AND SYSTEMS FOR A VIDEO REMOTE DEPOSIT CAPTURE PLATFORM (hereinafter RDC-Video) provides a platform for remote deposit by obtaining images of a check from streaming video captured by a video camera, wherein the RDC-Video transforms captured check images and/or entered check deposit information inputs via RDC-Video components into deposit confirmation outputs. For example, in one embodiment, a user may employ a personal computer connected to a web camera, and/or a smartphone with a built-in camera to initiate the remote deposit by holding a check in front of the camera, and the RDC-Video may capture images of the check and send them to a financial institution for deposit processing.

At least one processor of an image processing system acquires a target object image including a target object. The at least one processor executes matching for the target object image based on a template image including a feature about the target object. The at least one processor analyzes a plurality of scores acquired through the matching. The at least one processor determines, based on a result of analysis of the plurality of scores, whether the target object in the target object image is blurred.

Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

A system and method for extracting data from a received fax from a medical provider and matching it with a corresponding preauthorization record using modeling techniques. A received fax is converted into text via OCR, relevant keys are extracted from the text using modeling techniques and differential probabilities are calculated for each key that are then compared to the candidate preauthorization records using logistic regression models to find the most probable matching candidate records. Candidate record matches are ranked by matching probability and the highest ranked candidate record is considered the matching record to the received fax.

A mobile terminal includes a memory, and a processor coupled to the memory, wherein the processor is configured to execute first acquiring a frame obtained through photographing, second acquiring document image data of a document from the frame, first determining whether a form partial feature in a registered form and a document partial feature at a position corresponding to a position of the partial feature match, the document partial feature being in the document, and third acquiring a frame obtained through re-photographing when it is determined that the form partial feature and the document partial feature do not match.

The present application is directed to apparatuses, methods, and systems for remote deposit capture with enhanced image detection. In one form, a system includes a processor configured to extract an instrument image from an image that is associated with an account, where the instrument image is extracted by determining at least one corner of a plurality of corners of an instrument in the image, and to transmit the instrument image to a financial institution server to transfer funds between financial institution accounts.

In some embodiments, techniques are provided for document identification using a multimodal model that has been trained using one-shot learning. In one example, a first method of document image processing includes generating, for each template document image of a plurality of template document images, a corresponding fingerprint of a plurality of fingerprints; and based on the plurality of fingerprints, training a multimodal model. For each template document image of the plurality of template document images, generating the corresponding fingerprint may include detecting a plurality of regions within the template document image, wherein the plurality of regions comprises a plurality of text regions; and filtering the plurality of regions to obtain a plurality of regions of interest, wherein the fingerprint is based on the plurality of regions of interest.