Abstract: A system and method for invoice field detection and parsing includes the steps of extracting character bounding blocks using optical character recognition (OCR) or digital character extraction (DCE), enhancing the image quality, analyzing the document layout based on imaging techniques, detecting the invoice field based on the machine learning techniques, and parsing the invoice field value based on the content information.

Abstract: A system and method for invoice field detection and parsing includes the steps of extracting character bounding blocks using optical character recognition (OCR) or digital character extraction (DCE), enhancing the image quality, analyzing the document layout based on imaging techniques, detecting the invoice field based on the machine learning techniques, and parsing the invoice field value based on the content information.

Abstract: A sheet scanner that scans an input document to generate a scan image that is communicated to a selected scan destination via a wireless communications port of the sheet scanner includes a touch screen display having a swipe screen interface including at least one icon for selecting a scan destination by selecting the icon on the touch screen display, and at least one icon that the user may access by swiping the swipe screen interface and that, when selected, enables the user to select a different scan destination. An outbox icon may also be selected to enter the sheet scanner into a mode for viewing activity status and history of the sheet scanner and for resending the scan image to the same or a new scan destination.

Abstract: A system and method that transfers data from scanned documents and document images directly into a spreadsheet. The user can construct a map that associates data types in the input scanned document with an area in the spreadsheet. The user can also use pre-stored maps that have previously been constructed by the user or by someone else. The map may be stored as an XML file in a hidden sheet of the spreadsheet or in a separate file. During use, the user selects a map, scans the document, parses the document to extract the data types and associated data, and transfers the parsed data to the spreadsheet in accordance with the selected mapping.

Abstract: A technique is described for table grid detection and separation during the analysis and recognition of documents containing table contents. The technique includes the steps of table detection, grid separation, and table cell extraction. The technique is characterized by the steps of detecting the grid lines of a table using, for example, inverse cell detection, separating noise and touching text from the grid lines, and extracting the cell contents for OCR recognition.

Abstract: A portable document scanner (PDS) is provided that need not be in communication with a local computer. The PDS includes an image scanner for scanning an input document to generate a scan image, a processor, a wireless communications port that enables wireless communications with remote computing services, and a memory that stores instructions for execution by the processor to locally process the scan image. Such processing includes, for example, extracting identity, position, and/or orientation of one or more optical semaphores from the scan image, where the extracted semaphores include (1) optical characters including letters, numerals, and/or punctuation, (2) informational indicia including bar codes, data graphs, pictures, and/or icons, and (3) document formatting indicators including lines, bars, arrows, and/or grids. The extracted semaphore data is communicated to a remote computing service via the wireless communications port.

Abstract: A sheet scanner that scans an input document to generate a scan image that is communicated to a selected scan destination via a wireless communications port of the sheet scanner includes a touch screen display having a swipe screen interface including at least one icon for selecting a scan destination by selecting the icon on the touch screen display, and at least one icon that the user may access by swiping the swipe screen interface and that, when selected, enables the user to select a different scan destination. An outbox icon may also be selected to enter the sheet scanner into a mode for viewing activity status and history of the sheet scanner and for resending the scan image to the same or a new scan destination.

Abstract: A technique is provided for enhancing the background of an original document image. In the case of a black-and-white image, the background color of the original document image is detected, the desired enhanced background color of the original document image is determined from a background pixel value Pb that is in the center of the background color range, and the original document image is enhanced to the desired enhanced background color. However, if the background of the original document image is in color, the technique further includes obtaining color image histograms of red, blue and green colors of the original document image, smoothing the histograms, and comparing the histograms to determine if they have the same shape.

Abstract: A technique is described for table grid detection and separation during the analysis and recognition of documents containing table contents. The technique includes the steps of table detection, grid separation, and table cell extraction. The technique is characterized by the steps of detecting the grid lines of a table using, for example, inverse cell detection, separating noise and touching text from the grid lines, and extracting the cell contents for OCR recognition.

Abstract: A technique is described for table grid detection and separation during the analysis and recognition of documents containing table contents. The technique includes the steps of table detection, grid separation, and table cell extraction. The technique is characterized by the steps of detecting the grid lines of a table using, for example, inverse cell detection, separating noise and touching text from the grid lines, and extracting the cell contents for OCR recognition.

Abstract: An automatic document classification system is described that uses lexical and physical features to assign a class ci?C{c1, c2, . . . , ci} to a document d. The primary lexical features are the result of a feature selection method known as Orthogonal Centroid Feature Selection (OCFS). Additional information may be gathered on character type frequencies (digits, letters, and symbols) within d. Physical information is assembled through image analysis to yield physical attributes such as document dimensionality, text alignment, and color distribution. The resulting lexical and physical information is combined into an input vector X and is used to train a supervised neural network to perform the classification.

Abstract: A method, computer readable medium, and device for reducing speckle in an image by detecting the edges of the image to create an edge detected image, binarizing the edge detected image to create a binary edge image for processing, creating a list, L, of connected components in the binary edge image, creating a list, C, of connected components in list L that are smaller than a predetermined number of pixels, determining noise candidate pixels from the edge detected image that are covered by the connected components in list C, computing a histogram he of the noise candidate pixels, calculating a threshold from the total number of noise candidate pixels, and marking the pixels in the connected components in list C having a pixel intensity smaller than the threshold as noise. The pixels marked as noise may then be removed by setting the pixels marked as noise to a background color of the image.

Abstract: A method and corresponding computing device and computer readable storage media containing instructions for modifying the histogram of a grayscale image to improve contrast by extracting black connected components from the grayscale image that touch at least one of the margins of the grayscale image, computing the histogram of the portion of the grayscale image covered by the extracted black connected components, and updating the histogram of the grayscale image by subtracting the histogram of the portion of the binary image covered by the extracted black connected components from the histogram of the grayscale image or by subtracting a function of number of pixels of the portion of the binary image covered by the extracted black connected components from the histogram of the grayscale image. The function may be a property of a document containing the grayscale image, such as the size of the document.

Abstract: A method, computing device, and associated computer readable storage media containing instructions for binarizing a grayscale image by manually determining a first threshold that yields optimal binarization values to one or more images in a set of images, calculating the histograms of each of the images determined using the first threshold, calculating a set of statistical parameters such as the mean, standard deviation and variance of each histogram, determining a second threshold as a function of the set of statistical parameters, and comparing each pixel of the grayscale image to the second threshold. The second threshold T may be a function of the mean m, standard deviation s and variance v and is calculated by fitting a third degree polynomial curve T=a0+a1m+a2s+a3v, where the coefficients A=[a0 a1 a2 a3]T are found using a minimum mean square error algorithm.

Abstract: The present invention is a system comprising image capture device, such as a scanner or digital camera connected to a computer processor that is able to capture and store images, and method of using the same for storing and processing expense receipts. The computer processor analyzes the images of the receipts, converts the images to text, analyzes the data, extracts expense data, and puts the data into an expense report. The end user can review the captured expense data, correct it or add to it. Preferably, the system displays the image of the receipt side-by-side with the captured expense data to make review and editing easier. In a preferred embodiment the image capture device is portable, such as a handheld scanner or digital camera, so that a user can scan receipts while traveling and discard the receipt. Also, in a preferred embodiment, the images are encrypted to prevent tampering by the user or a third party, and thereby preserve the integrity of the receipt image.