Optical character recognition (OCR) is one of the most popular techniques used for converting printed documents into machine-readable ones. While OCR engines can do well with modern text, their performance unfortunately significantly reduced on historical materials. Additionally, many texts have already been processed by various out-of-date digitisation techniques. As a consequence, digitised a...

The purpose of this study is to see if it is viable to use Optical Character Recognition (OCR) to determine legibility of non-western languages. The results will show that OCR can be used to inspect defects in order to waste fewer products. A large amount of waste is an issue in pharmaceutical printing due to the need for products to be one hundred percent accurate. Waste increases with non-wes...

Crowdsourcing approaches for post-correction of OCR output (Optical Character Recognition) have been successfully applied to several historic text collections. We report on our crowd-correction platform Kokos, which we built to improve the OCR quality of the digitized yearbooks of the Swiss Alpine Club (SAC) from the 19th century. This multilingual heritage corpus consists of Alpine texts mainl...

With the advent of digital optical scanners, a lot of paper-based books, textbooks, magazines, articles, and documents are being transformed into an electronic version that can be manipulated by a computer. For this purpose, OCR, short for Optical Character Recognition was developed to translate scanned graphical text into editable computer text. Unfortunately, OCR is still imperfect as it occa...

Objective Third generation anti-HCV ELISA is currently recommended for the diagnosis of HCV infection. We determined its specificity in voluntary blood donors (VBDs) and patients with chronic liver disease (CLD) in relation to confirmatory line immunoassay (LIA) and reverse transcription polymerase chain reaction (RT-PCR). Material and Methods: 1926 serum samples of VBDs and 16 HCV related CLD ...

Optical Character Recognition (OCR) refers to a technology that uses image processing and character recognition algorithms identify characters on an image. This paper is deep study the effect of OCR based Artificial Intelligence (AI) algorithms, in which different AI for analysis are classified reviewed. Firstly, mechanisms characteristics artificial neural network-based summarized. Secondly, t...

The protein Ocr (overcome classical restriction) from bacteriophage T7 acts as a mimic of DNA and inhibits all Type I restriction/modification (RM) enzymes. Ocr is a homodimer of 116 amino acids and adopts an elongated structure that resembles the shape of a bent 24 bp DNA molecule. Each monomer includes 34 acidic residues and only six basic residues. We have delineated the mimicry of Ocr by fo...

These T 3 : Automatisierte Anfragen an Suchmaschinen bieten einen geeigne-ten Zugang zu den einschlägigen Web-Dokumenten eines Fachgebiets. These T 4 : Eine feingliedrige Fehlerklassifikation erlaubt die Lokalisierung der beiden Hauptfehlerquellen der webgestützten Nachkorrektur: • falsche Freunde, d. h. Fehler, die unentdeckt bleiben, da sie lexikalisch sind • unglückliche Korrekturen hin zu O...

With the advent of digital optical scanners, a lot of paper-based books, textbooks, magazines, articles, and documents are being transformed into an electronic version that can be manipulated by a computer. For this purpose, OCR, short for Optical Character Recognition was developed to translate scanned graphical text into editable computer text. Unfortunately, OCR is still imperfect as it occa...