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Of unfamiliar letter forms (the long S) and ligatures, and the broken type,Ĭauses an unacceptable error rate. The resulting text is riddled with errors. Minimal cleanup required in the poem, but the footnotes would have toĪ 17th-century printing Plaine Description of the Barmudas. ThereĪre several errors in the footnotes, as one may expect with a very small print
EXAMPLE OF OCR FONT SOFTWARE
Itself: the software fails to recognize the ë (e with umlaut) in line 10. (and some 18th century ones) of reasonable clarity, average typesize, and aįont style that is not ornate or archaic. Generally good results, as one typically finds with most 19th century printings
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The results of the OCR scan after trainingĪ 19th-century commercial printing Geoffrey Chaucer. The software to recognize Middle English characters The results of the OCR scan prior to training Training the software it does a good job of recognizing the Middle English characters. The abbreviated SGML entity references &t and &y. from the Tools menu) and to represent them with Is possible to train OmniPage to recognize the thorn and yogh (choose Edit Sees the thorn (þ) as a lower-case p and the yogh as a numeral 3. However, an inspection of the text reveals no majorĮrrors in the poem, and only a few errors in the footnotes. Not in its dictionary) in green in this case most of the text is in green, The software represents words it does not know (i.e., that are Printer or a good, clean photocopy with adequate typesize.Ī Middle English text. Note: One can expect similar results from a clear printout from a laser In the first paragraph and in "fund" in the third paragraph in the fourth paragraph In two places, and it inserts erroneous umlauts over the letter u in "full" Few errors: the software stumbles over the apostrophe in "University's" Special Collections of the University of Virginia Library. Scans well, despite the lower quality of the printing in comparison to exampleġ above (the good typesize makes up for the poorer print quality).Ī printed, glossy brochure. Click here to view the first page scanned. This comparison was done for two of the pages. Line, and a hyphen has been erroneously inserted before "to" in the sixth line. There were three pages of scanned text files found on the 1.4 tape.
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Very few errors: there is no space between "for, it" in the fourth Text of this print quality should not pose any significant problems.Ī modern mass-produced paperback. Line are retained, as are italics throughout. Hard return is inserted within the first paragraph. No problem the software misses the large initial letter, and an unnecessary Almost no errors rule lines at top are ignored but cause "The Life and Work of Fredson Bowers." Studies in Bibliography A modern text, well printed and of good typesize. The case of the Middle English text, which was exported as Rich Text FormatĪnd then converted to HTML. The results of each scan were exported directly as HTML except in Note: These test scans were made in May 1998 using OmniPage Pro, These few examples show some typical results from scanning different types
EXAMPLE OF OCR FONT HOW TO
Scanner or how to use OmniPage Professional. Helpsheets, and therefore it does not offer guidance on how to set up a (804 924-3230) document is a supplement to the scanning Optical Character Recognition: Some Sample Scans Electronic Text Center The font file may be in “.ocr” format or the older “.ocf” or “.ocm” formats.Īlthough ccOCFont::load() can load files in the older formats, trying to train the OCR Classifier tool using such a font (produced either manually or by a different Cognex tool such as the Image Font Extractor) and then running the OCR Classifier tool on images produced by the OCR Segmenter tool will generally give a worse OCR read rate (for example, percentage of correctly classified characters) than creating a font using the OCR Segmenter tool.Ĭopyright © 2019 | Cognex Corporation | All Rights Reserved.ĬVL Tools Vision Guide | 2019 October 02 | Revision: 9.0.0.Sample OCR Scans - Electronic Text Center The class provides the ccOCFont::load() and ccOCFont::save() functions to load and save the file using the file name as the sole argument. The ccOCFont class supports serialization to and from ccArchive. The OCR Font class ( ccOCFont) is a container class for a font, representing a set of characters, including their character codes, images, and other metadata, primarily for use with OCR and OCV and also more generally to represent a font.