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Optical character recognition

Known as: Character Recognition, Optical character, Zonal OCR 
Optical character recognition (optical character reader, OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed… 
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
This paper describes two implementations in optical character recognition using template matching method and feature extraction… 
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Highly Cited
2011
Highly Cited
2011
Detecting and reading text from natural images is a hard computer vision task that is central to a variety of emerging… 
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Highly Cited
2009
Highly Cited
2009
  • M. T. Qadri, M. Asif
  • International Conference on Education Technology…
  • 2009
  • Corpus ID: 8035367
Automatic Number Plate Recognition (ANPR) is an image processing technology which uses number (license) plate to identify the… 
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Review
2004
Review
2004
Abstract Intensive research has been done on optical character recognition (OCR) and a large number of articles have been… 
Highly Cited
2002
Highly Cited
2002
A new analytic scheme, which uses a sequence of image segmentation and recognition algorithms, is proposed for the off-line… 
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Highly Cited
2000
Highly Cited
2000
From the publisher: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning… 
Highly Cited
1999
Highly Cited
1999
We offer a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors made by three… 
Review
1998
Review
1998
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based… 
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Highly Cited
1997
Highly Cited
1997
INTRODUCING MARKOV CHAIN MONTE CARLO Introduction The Problem Markov Chain Monte Carlo Implementation Discussion HEPATITIS B: A… 
Highly Cited
1989
Highly Cited
1989
The term word association is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects… 
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