Several commands can be set, one per line.When present it will be executed in place of the system.ocr configuration parameter.When it's set to true, indicates that the field will also be used on the recognise stage.The application provides a complete list of available OCR Validation Controls and OCR Data Capture from By default application comes with built in plugins:In the Capture Data field is shown the result of the text extraction by the OCR.In the Validation Control field is shown the result of the compliance validation ( true or false ).Recognise level, use more or less speed to identify a document. It works really well. Example of OpenKM zone OCR recognition which allows document recognition, automatic data extraction and store data into OpenKM metadata. Mit OpenKM DMS sind alle Dokumente Ihres Unternehmens an einem Ort. The OCR natively can read TIFF documents and has hight ratio of recognition with images 300 dpi of resolution and converted to lineart (1 bit color).Depending on your locale you would like to install other language file.From command line execute ( where image.jpg should be an existing image file ):c:\Tesseract-ocr-3.0.2\tesseract.exe ${fileIn} ${fileOut}c:\Tesseract-ocr-3.0.2\tesseract.exe ${fileIn} ${fileOut} -l spaEach parameter is separated by a single "white space".We recommend the use of Tesseract rather than cuneiform.From command line execute ( where image.jpg should be an existing image file ):Each parameter is separated by a single "white space".OCR4 Linux is a commercial OCR engine. For best results, images should be scanned at least at 200 dpi resolution to get good text recognition from the OCR engine. A document will be considered recognised only if an OCR template checks 100%On extraction data, the values are extracted from the document.On save data, the dynamic values got in the extraction data stage are saved into metadata groups. OCR Templates allow to create zonal OCR templates which allows to recognise and extract estructured text from scanned images. For best results, images should be scanned at least at 200 dpi resolution to get good text recognition from the OCR engine.Understanding stages on the OCR templates execution:On recognition, the application based on ocr template's definition tries to identify the document. If we have also categorized the document, or added notes or keywords, we can use these criteria to retrieve the information that interests us. You can search by location in the repository, or by content - any word or data that we remember that is part of the document - by name; by title, by the author, by date range. Several commands can be set , one per line.When present it will be executed in place of the system.ocr configuration parameter.When checked indicates ocr empty text value is also valid in identifying document process.Data Capture fields are used to retrieve data in the extraction stage but also can be used in the Recognise stage in helping a document identification by checking a document section pattern.Metadata field where will be stored the captured data.Sets commands to process the images by the OCR. Neben der Automatisierung ermöglichen die Workflow-Engine und die zonale OCR die Schaffung neuer, effizienterer und effizienterer Geschäftsprozesse, die das intellektuelle Kapital des Unternehmens amortisieren. Moreover, taking the time to archive the file cabinet, classifying and storing the documentation resulting from commercial activities is not the best way to maximize business performance.That is why for some time now, for logistics and warehouse management, administration of invoice processing, employee onboarding, financial management (accounts payable) and customer relations, retail businesses rely on specialized sector solutions, necessary to offer high levels of service and quality.
For best results, images should be scanned at least at 200 dpi resolution to get good text recognition from the OCR engine.Understanding stages on the OCR templates execution:On recognition, the application based on ocr template's definition tries to identify the document. Moreover, the most efficient way to conduct searches is through metadata; high-value information linked to the document (which can either be extracted through OCR or from a separate database) that is used to retrieve the data or documents we need.The OpenKM document management software is prepared to archive emails, including attachments; so if we communicate with customers, public administrations or distributors by this means, we can consolidate our documentary repository with this type of files, without the extension being a limitation. Funcionalidad de OCR Zonal de OpenKM que permite la identificación de documentos, extracción automática de datos y almacenamiento en metadatos.
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