Abstract: Pre-surgical planning can use a three-dimensional model of an anatomical structure having a plurality of fiduciary points and a surgical mark integrated into the three-dimensional model using a contrast material. A model image of the three-dimensional model can be superimposed with a diagnostic image of the anatomical structure using the plurality of fiduciary points in order to create a superimposed image.

Abstract: A diagnostic manager receives a health history of a patient and generates a plurality of probabilities corresponding to a plurality of medical conditions based on the health history of the patient. The diagnostic manager generates a first list of potential diagnostic measures and calculates respective values for respective diagnostic measures and respective costs for respective diagnostic measures in the first list of potential diagnostic measures. The diagnostic manager calculates respective scores for respective diagnostic measures in the first list of potential diagnostic measures and outputs a recommended diagnostic measure.

Abstract: Pre-surgical planning can use a three-dimensional model of an anatomical structure having a plurality of fiduciary points and a surgical mark integrated into the three-dimensional model using a contrast material. A model image of the three-dimensional model can be superimposed with a diagnostic image of the anatomical structure using the plurality of fiduciary points in order to create a superimposed image.

Abstract: A novel and useful mechanism and method for processing transactions on a point of sale system comprising of a conveyor system which continuously moves when one ore more items or items are resting on the conveyor system, and a sensing system to capture the information necessary to identify the items on the conveyor. When all items are correctly recognized by the sensing devices, the customer is charged for the items and an invoice is printed. In the event all the items are not correctly recognized the captured information is forwarded to a remote location for automated recognition processing and manual identification, if necessary. Once all the items are successfully identified, the customer is charged for the purchase and an invoice is processed and sent to the customer.

Abstract: A novel and useful mechanism and method for processing transactions on a point of sale system comprising of a conveyor system which continuously moves when one ore more items or items are resting on the conveyor system, and a sensing system to capture the information necessary to identify the items on the conveyor. When all items are correctly recognized by the sensing devices, the customer is charged for the items and an invoice is printed. In the event all the items are not correctly recognized the captured information is forwarded to a remote location for automated recognition processing and manual identification, if necessary. Once all the items are successfully identified, the customer is charged for the purchase and an invoice is processed and sent to the customer.

Abstract: A novel and useful mechanism and method for processing transactions on a point of sale system comprising of a conveyor system which continuously moves when one ore more items or items are resting on the conveyor system, and a sensing system to capture the information necessary to identify the items on the conveyor. When all items are correctly recognized by the sensing devices, the customer is charged for the items and an invoice is printed. In the event all the items are not correctly recognized the captured information is forwarded to a remote location for automated recognition processing and manual identification, if necessary. Once all the items are successfully identified, the customer is charged for the purchase and an invoice is processed and sent to the customer.

Abstract: A method and system for recognizing a character affected by a noise or an obstruction is disclosed. After receiving an image with characters, a character being affected by a noise or an obstruction is determined. Then, areas in the character where the noise or obstruction affected are precisely located. Templates representing every possible character in the image are updated by removing equivalent areas to the areas in the character being affected by the noise or obstruction. Then, the character is classified in a template among the updated templates by finding the template having the highest number of matching pixels with the character.

Abstract: An Automatic Sales Assistant (“ASA”) automates the handling of electronic commerce transactions by gathering all of the relevant information with respect to an electronic commerce transaction being carried out by a customer using a computer and presenting it to the customer in a unified and convenient form (e.g., a template) that the customer may use to properly complete the electronic transaction (e.g., a purchase of retail goods using the Internet). The transaction may be an active document that resides in a private folder on the customer's computer. This type of active process handles all of the procedures related to any given electronic commerce transaction. Moreover, the ASA facilitates the proper resolution of any problems with a transaction by providing all of the necessary support material and information.

Abstract: A computer implemented method for adaptive optical character recognition on a document with distorted characters includes performing a distortion-correction transformation on a segmented character of the document assuming the segmented character to be a candidate character. The method further includes comparing the transformed segmented character to the candidate character by calculating a comparison score. If the calculated score is within a predetermined range, the segmented character is identified with the candidate character. The method may be implemented in either of computer hardware configured to perform the method, or in computer software embodied in a non-transitory, tangible, computer-readable storage medium. Also disclosed are corresponding computer program product and data processing system.

Abstract: A method and system for recognizing a character affected by a noise or an obstruction is disclosed. After receiving an image with characters, a character being affected by a noise or an obstruction is determined. Then, areas in the character where the noise or obstruction affected are precisely located. Templates representing every possible character in the image are updated by removing equivalent areas to the areas in the character being affected by the noise or obstruction. Then, the character is classified in a template among the updated templates by finding the template having the highest number of matching pixels with the character.

Abstract: A method and system for recognizing a character affected by a noise or an obstruction is disclosed. After receiving an image with characters, a character being affected by a noise or an obstruction is determined. Then, areas in the character where the noise or obstruction affected are precisely located. Templates representing every possible character in the image are updated by removing equivalent areas to the areas in the character being affected by the noise or obstruction. Then, the character is classified in a template among the updated templates by finding the template having the highest number of matching pixels with the character.

Abstract: A method for identifying vehicles, including capturing a first image of a first vehicle using a first camera at a first position and a second image of the first vehicle using a second camera at a second position different from the first position. The method further includes determining a transformation between the first image and the second image. A third image of a second vehicle using the first camera is captured, and the transformation is applied to the third image to generate a fourth image of the second vehicle. The fourth image is analyzed, using a database of identified vehicles, to determine an identity of the second vehicle.

Abstract: A computer implemented method for adaptive optical character recognition on a document with distorted characters includes performing a distortion-correction transformation on a segmented character of the document assuming the segmented character to be a candidate character. The method further includes comparing the transformed segmented character to the candidate character by calculating a comparison score. If the calculated score is within a predetermined range, the segmented character is identified with the candidate character. The method may be implemented in either of computer hardware configured to perform the method, or in computer software embodied in a non-transitory, tangible, computer-readable storage medium. Also disclosed are corresponding computer program product and data processing system.

Abstract: A computer-implemented method for processing paper forms includes accepting a filled-in paper form conforming to a template at a computer system having a local memory, wherein the template is not stored in the local memory. Identification information is extracted from the filled-in paper form using the computer system. The identification information indicates a network address of a remote storage location external to the computer system, in which the template is stored. The template is retrieved responsively to the identification information by communication with the remote storage location via a wide area network (WAN). The filled-in paper form is processed responsively to the retrieved template.

Abstract: Techniques for performing page verification of a document are provided. The techniques include performing a recognition technique on a document to recognize one or more objects in the document, excluding the one or more recognized objects from the document, and performing page verification of the document, wherein page verification comprises visual inspection of the document excluding the one or more recognized objects.

Abstract: A method for correcting results of OCR or other scanned symbols. Initially scanning and performing OCR classification on a document. Clustering character/symbol classifications resulting from the OCR based on shapes. Creating super-symbols based on at least a first difference in the shapes of the clustered characters/symbols exceeding a first threshold. A carpet of super-symbols, emphasizing localized differences in similar symbols, is displayed for analysis testing.

Abstract: A computer implemented method for correcting distortion in an image of a page includes identifying a set of high quality (HQ) words in undistorted regions of one or more images of pages having content related to the content of the page. At least one distorted word in the image the page is identified such that each distorted word corresponds to a high quality word of the set. A global transformation function is generated for application to the image of the page so as to tranform the distorted word into its corresponding high quality word. The global transformation function is applied to pixels of the image of the page.

Abstract: Disclosed embodiments of the invention provide automated global optimization methods and systems of OCR, tailored to each document being digitized. A document-specific database is created from an OCR scan of a document of interest, which contains an exhaustive listing of words in the document. Images of each word, taken from all the fonts encountered, are entered into the database and mapped to a corresponding textual representation. After entry of a first instance of an image of a word written in a particular font, each new occurrence of the word in that font can be quickly recognized by image processing techniques. The disclosed methods and systems may be used in conjunction with adaptive character recognition training and word recognition training of the OCR engines.

Abstract: A novel and useful system and method for a collaborative correction framework that allows external applications to interface to it in a manner that will serve specific correction goals. The framework is extendable, enabling registration of additional authorized applications to the framework. These additional registered applications are then available to other applications accessing the framework. The collaborative correction system maintains profiles for both corrective tasks and users. When assigning a task to a user the collaborative correction system finds an appropriate match by comparing their respective profiles.

Abstract: A method and system for recognizing a character affected by a noise or an obstruction is disclosed. After receiving an image with characters, a character being affected by a noise or an obstruction is determined. Then, areas in the character where the noise or obstruction affected are precisely located. Templates representing every possible character in the image are updated by removing equivalent areas to the areas in the character being affected by the noise or obstruction. Then, the character is classified in a template among the updated templates by finding the template having the highest number of matching pixels with the character.