#Ocr abbyy finereader full
#Ocr abbyy finereader software

Repeat the Pattern Training process for your training pages, until there are no more characters left to train.

FineReader saves the corrected character and moves to the next one. Without direction, the OCR engine systematically reads these letters as Us or Os.Ĭonfirm or correct the highlighted character using the Enter the character enclosed by the frame box and click Train. In my document (seen in the image above), the letter D is always poorly printed. In many old documents, printed letters may be misread using FineReader's default OCRing pattern.

#Ocr abbyy finereader full

The program is usually good about selecting the full character, but sometimes it needs some help. Instead of reading the document per usual, a Pattern Training mode box appears and ABBYY FineReader asks your advice about characters it is unsure about.Īdjust the green frame around each character FineReader selects, making sure the box completely encompasses each character. This will put ABBYY FineReader in a type of 'training mode.' Click OK.ĪBBYY is now in a zombie-like training mode! From the Pattern Editor box, click New. The Create Pattern box will open enter a name for the User Pattern. In the Training section, click the Pattern Editor button. You can (and should) experiment to see which is best for your job. I typically go with the built-in and user patterns options.

Instead, click the Options button on the main toolbar (or Tools > Options), and then click the Read tab.įrom the Training section, select either Use built-in and user patterns or Use only user patterns. Pre-process these test pages, but do not 'Read' them yet. Save your 'training pages' as a distinct file and open them in FineReader. We will use these pages to train ABBYY's recognition capabilities. It is a good idea to select a handful (or more) representative pages from the document you wish to analyze. I have never worked with historical data that did not entail some degree of training. Note: Somewhere buried in the sparse FineReader User Guide is a line reading, 'oh no, you seldom have to train FineReader' etc., etc.

#Ocr abbyy finereader software

Old documents will have many peculiarities that will be missed by FineReader unless we point the software in the right direction. Using custom User Patterns, we train ABBYY FineReader's OCRing algorithm to correctly classify characters in our historic data. Hey, don't do that.' Anyone who has ever had to get their hands dirty with machine learning will immediately recognize the intuition. That British pound sign is really a number. Training is used to tell FineReader, 'Hey, don't do that. Below is an example of historic document OCRd using FineReader's default recognition schemes many numbers have been replaced by letters or strange characters. If you OCR the document using the default pattern recognition settings you will likely be disappointed.

Say you're working with an old scanned document and you wish to extract its tables. And luckily, training ABBYY FineReader's engine is pretty easy. If you have ever worked with machine learning-type projects and/or text analysis, training software to properly classify stuff is a familiar concept. Old statistical documents often use long-gone proprietary typefaces. While modern OCR software can easily read Arials and Times New Romans, it needs help with more exotic typography this is where training come in. Most historical digitization projects will entail training. Now, I dig into some important digitization nitty gritty: training optical character recognition software to properly read historical content. In a previous tutorial I covered the basics of digitizing old statswith ABBYY FineReader (& alternative digitization tools).