4796 results about "Data extraction" patented technology

An intelligent document recognition-based document management system includes modules for image capture, image enhancement, image identification, optical character recognition, data extraction and quality assurance. The system captures data from electronic documents as diverse as facsimile images, scanned images and images from document management systems. It processes these images and presents the data in, for example, a standard XML format. The document management system processes both structured document images (ones which have a standard format) and unstructured document images (ones which do not have a standard format). The system can extract images directly from a facsimile machine, a scanner or a document management system for processing.

Methods, systems and processor-readable media for extracting and classifying location information utilizing social media messages and/or data thereof. The social media messages can be sampled from a social media database and the messages filtered based on a heuristic rule. A geolocation entity from the unstructured social media messages can be extracted utilizing a geolocation entity extracting module. The messages with the geoentities can be uploaded onto a crowd sourcing platform to manually annotate the messages with a label. A text classification model can be built and learned from the label utilizing a machine learning algorithm and the messages can be classified by a location classifier in order to extract the user location. The user location can then be transformed into a geocode so that a spatial search can be enabled and the distance between the locations can be easily calculated.

Provided are systems and methods for Web-based intelligent paperless document management where users can collect, store, and share all document from various locations. Also provided are systems and methods requiring minimal data reentry because of data extraction capabilities. Systems and methods described herein can deliver documents via internet to multiple persons without using barcodes or separator sheets for faxing or sending documents.

The present invention relates to automated document processing and more particularly, to methods and systems for document image capture and processing using mobile devices. In accordance with various embodiments, methods and systems for document image capture on a mobile communication device are provided such that the image is optimized and enhanced for data extraction from the document as depicted. These methods and systems may comprise capturing an image of a document using a mobile communication device; transmitting the image to a server; and processing the image to create a bi-tonal image of the document for data extraction. Additionally, these methods and systems may comprise capturing a first image of a document using the mobile communication device; automatically detecting the document within the image; geometrically correcting the image; binarizing the image; correcting the orientation of the image; correcting the size of the image; and outputting the resulting image of the document.

The present invention relates to automated document processing and more particularly, to methods and systems for document image capture and processing using mobile devices. In accordance with various embodiments, methods and systems for document image capture on a mobile communication device are provided such that the image is optimized and enhanced for data extraction from the document as depicted. These methods and systems may comprise capturing an image of a document using a mobile communication device; transmitting the image to a server; and processing the image to create a bi-tonal image of the document for data extraction. Additionally, these methods and systems may comprise capturing a first image of a document using the mobile communication device; automatically detecting the document within the image; geometrically correcting the image; binarizing the image; correcting the orientation of the image; correcting the size of the image; and outputting the resulting image of the document.

In embodiments of the present invention improved capabilities are described for the steps of identifying, through a monitoring module of a security software component, a data extraction behavior of a software application attempting to extract data from an endpoint computing facility; and in response to a finding that the data extraction behavior is related to extracting sensitive information and that the behavior is a suspicious behavior, causing the endpoint to perform a remedial action. The security software component may be a computer security software program, a sensitive information compliance software program, and the like.

A secure cashless gaming system comprises a plurality of gaming devices which may or may not be connected to a central host network. Each gaming device includes an intelligent data device reader which is uniquely associated with a security module interposed between the intelligent data device reader and the gaming device processor. A portable data device bearing credits is used to allow players to play the various gaming devices. When a portable data device is presented to the gaming device, it is authenticated before a gaming session is allowed to begin. The intelligent data device reader in each gaming device monitors gaming transactions and stores the results for later readout in a secure format by a portable data extraction unit, or else for transfer to a central host network. Gaming transaction data may be aggregated by the portable data extraction unit from a number of different gaming devices, and may be transferred to a central accounting and processing system for tracking the number of remaining gaming credits for each portable data unit and/or player. Individual player habits can be monitored and tracked using the aggregated data. The intelligent data device reader may be programmed to automatically transfer gaming credits from a portable data device the gaming device, and continually refresh the credits each time they drop below a certain minimum level, thus alleviating the need for the player to manually enter an amount of gaming credits to transfer to the gaming device.

The present invention relates to automated document processing and more particularly, to methods and systems for document image capture and processing using mobile devices. In accordance with various embodiments, methods and systems for document image capture on a mobile communication device are provided such that the image is optimized and enhanced for data extraction from the document as depicted. These methods and systems may comprise capturing an image of a document using a mobile communication device; submitting the image to a server; and processing the image to create a bi-tonal image of the document for data extraction. Additionally, these methods and systems may comprise capturing a first image of a document using the mobile communication device; automatically detecting the document within the image; geometrically correcting the image; binarizing the image; correcting the orientation of the image; correcting the size of the image; and outputting the resulting image of the document.

A method of automatically narrowing data search space and improving accuracy of data extraction using known constraints in a layout of extracted data elements for classified documented is provided. The method includes: analyzing each document to classify it within a document category, each category having a corresponding set of expected layouts; analyzing each electronic document to automatically extract images and text features; automatically constructing a data structure including a layout of the extracted features and layout relationships amongst the extracted features, wherein each of the extracted features in the layout maintains a reference to neighboring features and wherein closely related features are merged to form a combined feature; automatically narrowing data search space by detecting and removing parts of the layout that are not associated with any data elements using the data structure; and automatically detecting data using the extracted feature layout and the layout relationships amongst the extracted features.

A method for extracting an attribute occurrence from template generated semi-structured document comprising multi-attribute data records comprises identifying a first set of attribute occurrences in the template generated semi-structured document using an ontology. The method further comprises determining a boundary of each multi-attribute data record in the template generated semi-structured document, learning a pattern for an attribute corresponding to an identified attribute occurrence of the first set in the template generated semi-structured document, and applying the pattern within the boundary of each multi-attribute data record in the template generated semi-structured document to extract a second set of attribute occurrences.

The invention relates to a system and method for data extraction and management in multi-relational ontology creation. The system of the invention includes selecting a corpus of documents containing information relevant to a targeted knowledge domain, extracting assertions and their constituent concepts and relationships from the corpus, and storing the assertions, wherein the extraction processes may rules and utilize natural language processing.

The invention is directed generally to providing methods and systems for trend extraction and analysis. Embodiments include methods and systems for trend extraction and analysis of information extracted from dynamically changing data included in computer systems and/or networks. Various exemplary embodiments are provided that may generate characteristic indicators for trend(s) and/or distribution(s) for one or more data sources by use of, for example, temporal indicators derived through analysis of the difference in contribution separate portions of the data to the whole data set being considered, contribution of individual sources, and/or the interaction of the separate portions of the data with one another. Some exemplary approaches may include the use of singular value decomposition (SVD) and higher-order singular value decomposition (HOSVD) data extraction and analysis techniques. One use of these techniques is in the analysis of the dynamic data contained in Weblogs and the blogosphere.

A Web regional information retrieval apparatus 10 retrieves a Web page which is information in the Worldwide Web (WWW), and includes a collecting unit 11, a regional meta-data extraction unit 12, and a region information retrieval unit 14. The collecting unit 11 collects a Web page from the WWW. The regional meta-data extraction unit 12 extracts regional meta-data indicating the region relating to the collected Web page, and assigns the data to the Web page. The region information retrieval unit 14 receives location information indicating the location of the terminal 20 from the terminal 20, retrieves a Web page assigned the regional meta-data related to the location information from the WWW, and transmits the retrieval result to the terminal 20.

Circuitry for transferring multiple digital data streams, e.g. digital audio data, over a single communications link such as a single wire. A pulse-length-modulator is responsive to a plurality of data streams to generate a series of data pulses with a single data pulse having a rising and falling edge in each of a plurality of transfer periods defined by a first clock signal. The timing of the rising and falling edge of each data pulse is dependent on a combination of the then current data samples from the plurality of data streams. The duration and position of the data pulse in the transfer window in effect defines a data symbol encoding the data. An interface receives the stream of data pulses, and data extraction circuitry samples the data pulse to determine which of the possible data symbols the pulse represents and determines a data value for at least one received data stream.

An apparatus for managing information on at least one part to be used to manufacture a product includes a part-data creating unit configure to create part data that includes information on a part designated by a customer to be used to manufacture a product; a common-function-part data creating unit configured to create common-function-part data that includes at least two common-function-parts that have substantially common functions and priority information of each of the common-function-parts; an acquiring unit configured to acquire replacement-possibility data indicative of whether replacement of designated part with an alternative part is possible; an extracting unit configured to extract an alternative part for the designated part based on the common-function-part data; a determining unit configured to determine whether to replace the designated part with the alternative part based on the common-function-part data and the replacement-possibility data.

The present system can perform machine learning of prototypical descriptions of data elements for extraction from machine-readable documents. Document templates are created from sets of training documents that can be used to extract data from form documents, such as: fill-in forms used for taxes; flex-form documents having many variants, such as bills of lading or insurance notifications; and some context-form documents having a description or graphic indicator in proximity to a data element. In response to training documents, the system performs an inductive reasoning process to generalize a document template so that the location of data elements can be predicted for the training examples. The automatically generated document template can then be used to extract data elements from a wide variety of form documents.

An extraction-rule generation and training system uses information obtained from multiple markup language documents (e.g. web pages) of similar structure to generate an extraction rule for extracting datapoints from markup language documents. By using information extracted from multiple documents of similar structure, including information regarding correlations between such documents, the method produces data extraction rules that provide improved datapoint extraction reliability. Where the structures of two or more documents are not sufficiently similar, the system maintains separate extraction rules for the same datapoint, and applies these separate extraction rules in combination to particular markup language documents to extract the datapoint.

A map update data supply device includes: a request update data extraction unit that based on an update request extracts a request update section, and a latest version of an overwrite update data file for overwrite updating; and a safeguard update data extraction unit that extracts a safeguard update section that safeguards a network between adjacent sections, and up to an update safeguard version of a difference update data file, wherein the extracted data files are supplied to a navigation device.

Remote data collection systems and methods retrieve data including financial, sales, marketing, operational and the like data from a plurality of databases and database types remotely over a network in an automated, platform-agnostic manner. A remote data collection system includes a network interface, a connection to a data source, a processor communicatively coupled to the network interface and the connection, and memory storing instructions for remote data collection that, when executed, cause the processor to: receive a request to extract data from the data source; extract the data in a non-intrusive manner from the data source using a two phase process comprising a reconciliation phase and a collection phase; and transmit one of an entire set and a subset of the extracted data based on the request.