International Business Machines Corporation

Toshiba Global Commerce Solutions Holdings Corporation

Aidoc Medical Ltd

Eugeniusz Walach

Ehud Dov Karnin

Asaf Tzadok

Amir Geva

Dan S Chevion

Andre Heilper

Ami Ben-Horesh

Yaakov Navon

Elad Walach

Michael Braginski

Vladimir Kluzner

Uri Goren Horesh

Rutger Simonsson

Jan Henrik Stromback

Idan Bassukevitz

A system for determining whether a dataset including a plurality of cross-sectional images includes a predetermined feature is provided. A first AI receives a dataset including a plurality of cross-sectional images, and analyses the dataset to identify a subset of cross-sectional images of the dataset capable of including the predetermined feature A second AI model receives a first cross-sectional image from the subset, analyses the first cross-sectional image to determine whether the first cross-sectional image includes the predetermined feature, and outputs an indication of whether the first cross-sectional image includes the predetermined feature. A processor is configured to obtain the output from the second AI model, and based on the output from the second AI model indicating that the first cross-sectional image includes the pre-determined feature, determine that the dataset includes the predetermined feature.

System for determining the presence of features in a dataset

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.

Three-dimensional model for surgical planning

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.

Point of sale system with item image capture and deferred invoicing capability

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.

Adaptive partial character recognition

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.

Automatic sales assistant for electronic commerce customers

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.

Adaptive optical character recognition on a document with distorted characters

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.

Fast license plate verifier

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.

Automated processing of paper forms using remotely-stored templates

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.

Digitizing documents

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. Depending on results of analysis testing, performing one of: (1) storing the clustered symbols when the carpet of super-symbols passes all of the analysis testing; (2) creating additional super-symbols based on at least a second difference in the shapes of the clustered symbols exceeding a second threshold and returning to analysis testing when the carpet of super-symbols passes most of the analysis testing; and (3) rejecting the clustered symbols when the carpet of super-symbols fails most of the analysis testing and manually keying-in the symbols.

Fast key-in for machine-printed OCR-based systems

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.

OCR of books by word recognition

A system is presented for scanning entire books or document all at once using an adaptive process where the book or document has known fonts and unknown fonts. The known fonts are processed through a verification system where sure words and error words are determined. Both the sure words and error words are sent to OCR training where they are re-OCR'ed and repeatedly verified until they meet a predetermined quality criteria. Characters or words not meeting the predetermined quality criteria receive additional OCR training until all the characters and words pass the predetermined quality criteria. Unknown fonts are scanned and clustered together by shape. Outliers in the shapes are manually keyed-in. Those symbols that are manually classified go to OCR training and then to the known type optimization process.

Adaptive OCR for books

A method for processing forms in a computer system includes receiving from a human operator a design of a unified from template including data fields and respective attributes. Paper forms and electronic forms (e-forms) are automatically produced based on the unified form template. Filled-in paper forms and filled-in e-forms are accepted from the clients of the computer system, the filled-in forms including data items filled into the respective data fields by the clients. The data items are extracted from the filled-in paper forms and the filled-in e-forms responsively to the unified form template.

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Haifa, Israel

Eugeniusz Walach