- WHICH TEXT RECOGNITION SOFTWARE IS BEST AT READING TABLES HOW TO
- WHICH TEXT RECOGNITION SOFTWARE IS BEST AT READING TABLES MANUAL
- WHICH TEXT RECOGNITION SOFTWARE IS BEST AT READING TABLES UPGRADE
200 dpi is a minimum dpi for text that is 10 point or larger.
Image Recommendations and Minimum Requirementsįor best recognition results, use a dpi (dots per inch) between 200 and 300 dpi. Even if they are similar, a problem may exist in a test document that does not exist in a “real” document, and vice versa.Ģ.3. Performance can be different when compared to some “manufactured” test documents versus the actual documents that will be ultimately processed. It is not advisable to test some sample text documents to see how well the engine performs. When evaluating the recognition engines, use the actual pages that your application needs to process. If you have some documents that need OCR and others that need ICR, one typical implementation would be to run different rules based on the assigned page type and the rules would run the appropriate engine based on the page type. IBM Datacap allows use of multiple recognition engines in a single application. It is possible one engine is required for OCR, while a different engine is required for ICR. If it does support both printed and cursive text, all the features and languages may not be supported for both types of writing. If an engine supports ICR, it does not imply that it supports both printed and cursive text. Cursive is typically the most difficult type of text to recognize. Intelligent Character Recognition refers to recognition on hand-printed or cursive text. This text is created with a word processor, typewriter, or printer. Optical Character Recognition refers to recognition on machine-printed text that uses various fonts, such as Arial, New Times Roman, and so on. Recognition is typically classified into two types: OCR and ICR It is recommended to run tests on data with different engines, different settings, and image enhancement features, to find the combination that produces the best results for your documents.įor more information, see the Image Enhancement ruleset documentation. Datacap is a toolkit of features that can be mixed and matched. You should evaluate the engine capabilities and determine which engine is best for the type of documents that you must process. Recognition does not provide 100% accurate results. Each engine has its own strengths and abilities. IBM Datacap provides several different recognition engines. It is recommended to review all the action libraries with available guides and Red Books for application creation. Instead of relying solely on recognition, utilize the actions provided by IBM Datacap to validate and adjust the data. IBM Datacap provides a vast number of tools to control the recognition and the post-processing of recognition, to avoid or fix mistakes to reduce the need for a user to manually verify them.
WHICH TEXT RECOGNITION SOFTWARE IS BEST AT READING TABLES MANUAL
The guidance provided by this document is intended to help achieve better accuracy from the input documents to help reduce the need for viewing or manual correction from a verify operator, although it might not eliminate the need for manual correction. Recognition uses heuristic algorithms, which by their nature, are not 100% accurate.
WHICH TEXT RECOGNITION SOFTWARE IS BEST AT READING TABLES UPGRADE
Some of the features mentioned in this document may not be available in the older versions of IBM Datacap, and may need an upgrade to the latest version of Datacap to access these features. NOTE: New features are added to IBM Datacap over time. Other tips highlight various product features that can be used to improve recognition or why to use one feature vs.
WHICH TEXT RECOGNITION SOFTWARE IS BEST AT READING TABLES HOW TO
Some of the tips for improving recognition are related to how to prepare input documents for processing. The optimal recognition settings can vary based on the contents of a specific document.
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