نتایج جستجو برای: ocr

تعداد نتایج: 2705  

2010
Jörg Schumann Michael J. Zellweger Marcello Di Valentino Simone Piazzalonga Andreas Hoffmann

Background. The aim of this study was to assess sexual function before and after cardiac rehabilitation in relation to medical variables. Methods. Analysis of patients participating in a 12-week exercise-based outpatient cardiac rehabilitation program (OCR) between April 1999 and December 2007. Exercise capacity (ExC) and quality of life including sexual function were assessed before and after ...

Journal: :PVLDB 2011
Arun Kumar Christopher Ré

The digitization of scanned forms and documents is changing the data sources that enterprises manage. To integrate these new data sources with enterprise data, the current state-of-the-art approach is to convert the images to ASCII text using optical character recognition (OCR) software and then to store the resulting ASCII text in a relational database. The OCR problem is challenging, and so t...

1995
L. R. Blando Junichi Kanai Thomas A. Nartker

A classifier for predicting the character accuracy achieved by any Optical Character Recognition (OCR) system on a given page is presented. This classifier is based on measuring the amount of white speckle, the amount of character fragments, and overall size information in the page. No output from the OCR system is used. The given page is classified as either “good” quality (i.e., high OCR accu...

2015
Klearchos K. Papas Melena D. Bellin David E. R. Sutherland Thomas M. Suszynski Jennifer P. Kitzmann Efstathios S. Avgoustiniatos Angelika C. Gruessner Kathryn R. Mueller Gregory J. Beilman Appakalai N. Balamurugan Gopalakrishnan Loganathan Clark K. Colton Maria Koulmanda Gordon C. Weir Josh J. Wilhelm Dajun Qian Joyce C. Niland Bernhard J. Hering Matthias G von Herrath

BACKGROUND Reliable in vitro islet quality assessment assays that can be performed routinely, prospectively, and are able to predict clinical transplant outcomes are needed. In this paper we present data on the utility of an assay based on cellular oxygen consumption rate (OCR) in predicting clinical islet autotransplant (IAT) insulin independence (II). IAT is an attractive model for evaluating...

Journal: :International Journal of Engineering and Technology 2011

Journal: :Archiving Conference 2018

2010
Dalton Matsuo Tavares Glauco Augusto de Paula Caurin Adilson Gonzaga

This paper presents the analysis of Google’s Tesseract OCR for license plate recognition in Brazil. The performance results presented for Tesseract OCR will be compared to market grade OCR products known here as “A” and “B”. This is a necessary measure due to a confidentiality agreement with the company supporting this research. The use of OpenCV is also considered due to limitations inherent t...

Journal: :Optometry and vision science : official publication of the American Academy of Optometry 2005
Michael J Lipson Alan Sugar David C Musch

PURPOSE The purpose of this article is to evaluate patients' visual acuity, symptoms, and perceptions of vision-related quality of life in a randomized crossover clinical trial of overnight corneal reshaping (OCR) and daily wear soft lenses (SCL). METHODS Qualified subjects were randomly assigned to wear one mode of contact lens for 8 weeks and then, after a washout period, they wore the alte...

Journal: :Applied sciences 2023

Optical character recognition (OCR) is the process of extracting handwritten or printed text from a scanned image and converting it to machine-readable form for further data processing, such as searching editing. Automatic extraction using OCR helps digitize documents improved productivity accessibility preservation historical documents. This paper provides survey current state-of-the-art appli...

1997
Markus Junker Rainer Hoch

In literature, many feature types and learning algorithms are proposed for document classiication. However , an extensive and systematic evaluation of the various approaches has not been done yet. In order to investigate diierent text representations for document classiication, we have developed a tool which transforms documents into feature-value representations suitable for standard learning ...

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