Abstract: Methods, devices, and systems replace solid lines of user-fillable areas of a print job with patterned lines and then print the print job with the patterned lines to print user-fillable pre-printed forms, using a printing device. These methods, devices, and systems also scan at least one of the user-fillable pre-printed forms having user markings to produce a scan, using an optical scanner. Further, such methods, devices, and systems produce an altered scan by removing only the patterned lines from the scan to leave the user markings in the altered scan using the image processor. Then, these methods, devices, and systems can identify user-supplied characters by performing automated character recognition on the user markings in the altered scan using the image processor and output such user-supplied characters from the image processor.

Abstract: The present disclosure relates to systems and methods for use in a retail store. An example system includes a mobile base, a printer, an image capture subsystem on the mobile base and coupled to the printer, the image capture system including at least one image capture device and at least one image processor, the image capture device configured to obtain images of items in the retail store, the image processor configured to derive item identification data from the images of items, and a control subsystem coupled to the printer and to the image capture subsystem, where the control subsystem is configured to receive information identifying items requiring signage, acquire item identification data from the image capture subsystem, determine, based on the information identifying items requiring signage and on the item identification data, items requiring signage, and to direct the printer to print signage for the items requiring signage.

Abstract: A store profile generation system includes a mobile base and an image capture assembly mounted on the base. The assembly includes at least one image capture device for acquiring images of product display units in a product facility, product labels being associated with the product display units which include product-related data. A control unit acquires the images captured by the at least one image capture device at a sequence of locations of the mobile base in the product facility. The control unit extracts the product-related data from the acquired images and constructs a store profile indicating locations of the product labels throughout the product facility, based on the extracted product-related data. The store profile can be used for generating new product labels for a sale in an appropriate order for a person to match to the appropriate locations in a single pass through the store.

Abstract: This disclosure provides an image processing method and system for recognizing barcodes and/or product labels. According to an exemplary embodiment, the method uses a multifaceted detection process that includes both image enhancement of a candidate barcode region and other product label information associated with a candidate barcode region to identify a product label, where the candidate barcode region includes a nonreadable barcode. According to one exemplary application, a store profile is generated based on the identifications of the product labels which are associated with a location of a product within a store.

Abstract: A configuration system generates a calibration target to be printed, the target including a set of machine-readable and visually-identifiable landmarks and associated location-encoding marks which encode known locations of the landmarks. A plurality of test images of the printed calibration target is acquired by the system from an image capture assembly. Positions of the landmarks in the acquired test images and the location-encoding marks in the acquired test images are detected by the system. The system decodes the locations of the landmarks from the detected location-encoding marks and spatially characterizes the image capture assembly, based on the detected positions of the landmarks in the acquired test images and their decoded known locations.

Abstract: A method, system, and computer program product for evaluating digital images of handwritten documents comprising handwritten symbols are disclosed. A set of symbols from the digital image is determined by applying a first predefined technique. If the set of symbols determined by applying the first predefined technique does not match with a predefined set of symbols, a second predefined technique is applied to determine the set of symbols from the digital image. Thereafter, an evaluation report is created based on the determining by applying the first predefined technique or the determining by applying the second predefined technique.

Abstract: A system and method are disclosed for an image processing system including a threaded scheduler providing compact and efficient dataflow as a pipeline management and data flow layer.

Abstract: A method and system for processing a digital assessment template are provided. The system includes at least one tangible processor and a memory with instructions to be executed by the at least one tangible processor for processing a digital assessment template. The template which includes a description of a plurality of data structures that are configured for interpreting an assessment associated with the template. The assessment was marked with strokes by an assessment-taker who was administered the assessment and responded to at least one problem provided by the assessment. The template describes a location of the marked assessment in which to find each stroke that corresponds to a response by the assessment-taker and how to interpret the strokes. Each of the locations and how to interpret the strokes are selectable.

Abstract: An image file representing at least a portion of a printed document is processed to highlight the differences between foreground material (e.g., text or other characters) from background. The method includes selecting a neighborhood of pixels, determining a weighted average of an attribute values (e.g., luminance) for each pixel, and modifying each pixel's value based on the weighted average. Graylevel scaling, error diffusion, and a bit level conversion are also performed each pixel ends up with either a first attribute value level (e.g., luminance of 0) or a second attribute value level (e.g., luminance of 255).

Abstract: The disclosed embodiment relates to methods and systems for evaluating an electronic document. The computer implemented method includes receiving the electronic document containing a first set of answers corresponding to one or more pre-stored questions. The first set of answers are compared with a pre-stored second set of answers based on an answer descriptor syntax dataset. The answer descriptor syntax dataset comprises one or more rules. One or more answer descriptors for each of the first set of answers are determined based on the comparing. The one or more answer descriptors correspond to one or more observations for each of the first set of answers. Finally, the electronic document is evaluated based on determining.

Abstract: A relevance based print integrity method includes comparing current raster image data that define a document to be printed with golden raster image data that define a previous version of said document with a known (perfect) quality. A plurality of differences between said current raster image data and said golden raster image data are calculated, and each of the differences is processed to determine a relevance value of the difference and to assign the relevance value to the difference. The method includes generating and storing a list of the differences, wherein the list is ordered in terms of the relevance value assigned to each difference. The difference list is presented to a user textually or graphically and/or is used to control or interrupt printing operations.

Abstract: A method, system, and computer program product for evaluating digital images of handwritten documents comprising handwritten symbols are disclosed. A set of symbols from the digital image is determined by applying a first predefined technique. If the set of symbols determined by applying the first predefined technique does not match with a predefined set of symbols, a second predefined technique is applied to determine the set of symbols from the digital image. Thereafter, an evaluation report is created based on the determining by applying the first predefined technique or the determining by applying the second predefined technique.

Abstract: A method, a system, and a computer program product for creating an assessment model are disclosed. Marked regions in an electronic document are identified. Thereafter, mark-ups within the marked regions are identified. Based on the identified marked regions and mark-ups the assessment model is created.

Abstract: A collaboration detection system and a method for detecting collaboration amongst a class of two or more students in answering a plurality of problems of an assessment administered to the students are provided. The system includes a tangible processor and a memory with instructions to be executed by the tangible processor. The processor executes the instructions for accessing granular assessment data associated with each student. The granular assessment data includes an independent determination of correctness of the answer submitted by the student for each respective problem of the plurality of problems of the assessment. The processor then executes the instructions for determining for each combination of students of the class of students the number of problems for which it was determined that the same problem was answered incorrectly by all of the students of the combination of students.

Abstract: A method for removal of punched hole artifacts in digital images includes, for a scanned document page, deriving an original digital image that defines the page in terms of a plurality of input pixels. A reduced resolution bitonal image is generated from the original image. The method further includes providing for identifying of candidate punched hole artifacts in the reduced resolution bitonal image and providing for testing the candidate punched hole artifacts for at least one of shape, size, and location. Where a candidate punched hole artifact meets the at least one test, the method includes generating a modified image. This includes erasing the candidate punched hole artifact from the original digital image.

Abstract: A relevance based print integrity method includes comparing current raster image data that define a document to be printed with golden raster image data that define a previous version of said document with a known (perfect) quality. A plurality of differences between said current raster image data and said golden raster image data are calculated, and each of the differences is processed to determine a relevance value of the difference and to assign the relevance value to the difference. The method includes generating and storing a list of the differences, wherein the list is ordered in terms of the relevance value assigned to each difference. The difference list is presented to a user textually or graphically and/or is used to control or interrupt printing operations.

Abstract: An image file representing at least a portion of a printed document is processed to highlight the differences between foreground material (e.g., text or other characters) from background. The method includes selecting a neighborhood of pixels, determining a weighted average of an attribute values (e.g., luminance) for each pixel, and modifying each pixel's value based on the weighted average. Graylevel scaling, error diffusion, and a bit level conversion are also performed each pixel ends up with either a first attribute value level (e.g., luminance of 0) or a second attribute value level (e.g., luminance of 255).

Abstract: Systems and methods are described that facilitate importing scanned image data into a production workflow, in accordance with various features described herein. A plurality of loosely-coupled, dynamically loaded plugins can be defined in a configuration file for a given production scanning job. The plugins can be invoked in response to a trigger with which each plugin is associated, and triggers can be associated with different phases of the production workflow, such as image data acquisition (importation), data filtering (pre-scanning), image analysis (scanning), and metadata processing (post-scanning). In this manner, the overarching scanning architecture need not have direct knowledge of which plugins are triggered, or even present, and custom plugins as well as standard plugins can be provided for each production scanning job.

Abstract: A collaboration detection system and a method for detecting collaboration amongst a class of two or more students in answering a plurality of problems of an assessment administered to the students are provided. The system includes a tangible processor and a memory with instructions to be executed by the tangible processor. The processor executes the instructions for accessing granular assessment data associated with each student. The granular assessment data includes an independent determination of correctness of the answer submitted by the student for each respective problem of the plurality of problems of the assessment. The processor then executes the instructions for determining for each combination of students of the class of students the number of problems for which it was determined that the same problem was answered incorrectly by all of the students of the combination of students.

Abstract: A method and system for processing a digital assessment template are provided. The system includes at least one tangible processor and a memory with instructions to be executed by the at least one tangible processor for processing a digital assessment template. The template which includes a description of a plurality of data structures that are configured for interpreting an assessment associated with the template. The assessment was marked with strokes by an assessment-taker who was administered the assessment and responded to at least one problem provided by the assessment. The template describes a location of the marked assessment in which to find each stroke that corresponds to a response by the assessment-taker and how to interpret the strokes. Each of the locations and how to interpret the strokes are selectable.