OmniPage OCR

Images that contain clearly printed or typed information can be converted to text files through a process called OCR (Optical Character Recognition). The process in Quick Fields is known as OmniPage OCR. Once text has been extracted from an image, it can be stored and associated with the image in Laserfiche.

Many of the image enhancements available in Quick Fields are designed to improve the results of OmniPage OCR. For example, if the documents to be scanned in the session have been photocopied many times, they may have gray, speckled backgrounds or characters with gaps in them. You could configure a session that uses Despeckle to clean up the extra pixels in the background and Smooth to even out the shapes of the characters.

Where in the Quick Fields session you will use OmniPage OCR is determined by what you plan to accomplish with it. OmniPage OCR is very resource-intensive and can be slow if the image quality is poor, the image was scanned improperly, or if memory is limited. On the other hand, OmniPage OCR is a prerequisite for some processes, such as Auto Annotation. OmniPage OCR is only available in Pre-Classification Processing, Page Processing, and Storage Processing. It cannot be used as an Identification process. If you want to use a process that depends on OmniPage OCR on a particular document class, you will probably want to use OmniPage OCR in Page Processing for that document class before the other process. If none of the other processes used in the session depend on OmniPage OCR, you can use it in Storage Processing, where it will be applied while the documents are sent to Laserfiche, even if this is scheduled to occur at a later time. This helps you save time during processing.

Example: Ernest is configuring a session to process letters sent to the State Tax Board pertaining to tax audits. He wants to use Auto Annotation to redact any social security numbers found in the letters. In Page Processing, he configures OmniPage OCR and then Auto Annotation so text will be extracted from the document and then matched against the pattern of a social security number.

Example: Bertram is configuring a session that will process patient surgery records by looking up the patient identification number in a database and populating the Laserfiche fields with additional information from the database. He wants to extract the text from the entire document, but does not need to do so during processing. He configures the session to use OmniPage OCR in storage processing, so that the time-consuming work of extracting the text will take place when the documents are sent to the Laserfiche repository, which will happen at night.

To Use OmniPage OCR

  1. In the Session Configuration Pane, select the stage of processing where you want to use OmniPage OCR.
  2. In the Tasks Pane, select OmniPage OCR. Under More Options, you can select Wizard to display more information about each property or Skip Wizard to display the properties all at once without additional information.
  3. Page Range: When configuring this process in Page Processing or Storage Processing, you will be prompted to select a page range. In other stages, default settings will be automatically applied. When selecting a page range, you can select all pages or specify particular pages.
  4. Language Selection: Select a language to help optimize the character recognition.
  5. Decolumnize: Select Decolumnize to convert multiple columns of generated text into a single column. Clearing the check box will preserve column formatting in the OCRed text, even if that separates words and sentences.
  6. Optimization: Specify an optimization style. There is generally a trade-off between speed and accuracy.
  7. Auto Rotate: Enable Auto Rotate to temporarily rotate images to an orientation suitable for OCR. After the OmniPage OCR process is performed, the image will return to its original orientation.
  8. Optional: To preview how this enhancement will affect scanned images and OCRed or extracted text, test processes. For the best results, add a custom sample image before testing. Adjust and test until you are satisfied with the results.
  9. To see the results of the OCR process, click the Text Pane button to display the text. Adjust and test until you are satisfied with the results.


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