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Optical character recognition
Known as:
Character Recognition
, Optical character
, Zonal OCR
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Optical character recognition (optical character reader, OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed…
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Related topics
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50 relations
AI-complete
Automatic identification and data capture
Binary image
CAPTCHA
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Optical Character Recognition Systems
A. Chaudhuri
,
Krupa Mandaviya
,
Pratixa Badelia
,
S. Ghosh
2017
Corpus ID: 43326262
Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The character…
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Highly Cited
2011
Highly Cited
2011
Reading Digits in Natural Images with Unsupervised Feature Learning
Yuval Netzer
,
Tao Wang
,
Adam Coates
,
A. Bissacco
,
Bo Wu
,
A. Ng
2011
Corpus ID: 16852518
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
Automatic Number Plate Recognition System for Vehicle Identification Using Optical Character Recognition
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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Highly Cited
2002
Highly Cited
2002
Optical Character Recognition for Cursive Handwriting
N. Arica
,
F. Yarman-Vural
IEEE Transactions on Pattern Analysis and Machine…
2002
Corpus ID: 12887938
A new analytic scheme, which uses a sequence of image segmentation and recognition algorithms, is proposed for the off-line…
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Review
2002
Review
2002
Correlation Pattern Recognition
B. Kumar
,
Abhijit Mahalanobis
,
R. Juday
2002
Corpus ID: 45414251
Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target…
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Review
2001
Review
2001
GradientBased Learning Applied to Document Recognition
S. Haykin
,
B. Kosko
2001
Corpus ID: 64294544
Multilayer Neural Networks trained with the backpropagation algorithm constitute the best example of a successful Gradient-Based…
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Review
1998
Review
1998
Gradient-based learning applied to document recognition
Yann LeCun
,
L. Bottou
,
Yoshua Bengio
,
P. Haffner
Proceedings of the IEEE
1998
Corpus ID: 14542261
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
Markov Chain Monte Carlo in Practice
W. Gilks
,
S. Richardson
,
D. Spiegelhalter
1997
Corpus ID: 221894711
INTRODUCING MARKOV CHAIN MONTE CARLO Introduction The Problem Markov Chain Monte Carlo Implementation Discussion HEPATITIS B: A…
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Review
1991
Review
1991
Optical Character Recognition - a Survey
S. Impedovo
,
L. Ottaviano
,
S. Occhinegro
International journal of pattern recognition and…
1991
Corpus ID: 10926410
In order to highlight the interesting problems and actual results on the state of the art in optical character recognition (OCR…
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Highly Cited
1989
Highly Cited
1989
Word Association Norms, Mutual Information, and Lexicography
Kenneth Ward Church
,
Patrick Hanks
Annual Meeting of the Association for…
1989
Corpus ID: 9558665
The term word association is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects…
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