Based Upon the the Xerox TextBridge Engine

LEAD's OCR editor ties the text being edited directly to the image, providing a visual reference to the original bitmap data. The OCR engine can perform Automatic area segmentation creating multi-layered zones, recognizing areas such as tables, rules, images and text. Or, you can manually designate up to 250 such zones.

Different fonts, sizes (5 to 72 point) and styles are also supported. Fax, dot matrix and halftones can be preprocessed to improve recognition results. The OCR Engine supports major European and Scandinavian languages (Danish, Dutch, Finnish, French, German, Italian, Norwegian, Portuguese, Russian, Spanish, and Swedish) as well as English. Support for dialects such as US. English, French Canadian, Latin American Spanish, Swiss German, and Brazilian Portuguese is also provided. Recognized text can be exported to more than 40 different formats, including MS Word, MS Excel, Dbase and WordPerfect. You get superior OCR processing speeds, for use in form recognition and processing applications.

LEADTOOLS OCR Module features

The OCR features extend the functionality of the LEADTOOLS Document Imaging Suite by providing properties, methods, and events for easily incorporating the Xerox TextBridge optical character recognition engine into your applications. These functions, properties and methods feature:

• Recognize and export text, choosing from a variety of text, word processing, database, or spreadsheet file formats.

• Select the language of documents to be recognized.

• Choose from English, Danish, Dutch, Finnish, French, German, Italian, Norwegian, Portuguese, Russian, Spanish, or Swedish.

• Segment complex pages manually or automatically into text zones, image zones, table zones, lines, headers and footers.

• Set accuracy thresholds prior to recognition to control the accuracy of recognition.

• Learn, save and load character recognition data for similar documents. The software learns as a result of normal recognition, and acquires additional information by using the OCR's text verification system.

• Recognize text from 5 to 72 points in virtually any typeface.

• Increase recognition accuracy with built-in lexical classes and user defined lexicons.

• Verify or correct text during the recognition process based on confidence levels set prior to recognition. If a word or character falls within the set range, a dialog box can be brought up to allow the user to see the original image and the preliminary results of the recognition. From the dialog box, the user may make any necessary corrections to the recognized text.

• Once recognition is complete, edit the entire document, using the LEADTOOLS OCR Editor.

• Automatically detect fax, dot matrix, and other degraded documents and compensate accordingly.

• Process both text and halftone graphics. The recognition software's ability to distinguish halftone graphics from text can provide the basis of a compound document processing system.

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