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7,012
Improving Optical Character Recognition
- Proceedings of the 2nd Villanova University Undergraduate Computer Science Research Symposium (CSRS 2008). December 5, 8 & 10, 2008
"... There is a clear need for optical character recognition in order to provide a fast and accurate method to search both existing images as well as large archives of existing paper documents. However, existing optical character recognition programs suffer from a flawed tradeoff between speed and accura ..."
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Cited by 1 (0 self)
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There is a clear need for optical character recognition in order to provide a fast and accurate method to search both existing images as well as large archives of existing paper documents. However, existing optical character recognition programs suffer from a flawed tradeoff between speed
Geometric Methods for Optical Character Recognition
, 1997
"... of the Dissertation Geometric Methods for Optical Character Recognition by George N. Sazaklis Doctor of Philosophy in Computer Science State University of New York at Stony Brook Advisor: Joseph S. B. Mitchell 1997 Abstract Optical Character Recognition (OCR) is an important problem havin ..."
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of the Dissertation Geometric Methods for Optical Character Recognition by George N. Sazaklis Doctor of Philosophy in Computer Science State University of New York at Stony Brook Advisor: Joseph S. B. Mitchell 1997 Abstract Optical Character Recognition (OCR) is an important problem
Optical Character Recognition for Handwritten Hindi
"... Optical Character Recognition (OCR) is the electronic conversion of scanned images of hand written text into machine encoded text. In this project various image pre-processing, features extraction and classification algorithms have been explored and compared, to design high performance OCR software ..."
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Optical Character Recognition (OCR) is the electronic conversion of scanned images of hand written text into machine encoded text. In this project various image pre-processing, features extraction and classification algorithms have been explored and compared, to design high performance OCR software
Motion Deblurring for Optical Character Recognition
"... This paper investigates the problem of blurring caused by motion during image capture of text documents. Motion blurring prevents proper optical character recognition of the document text contents. One area of such applications is to deblur name card images obtained from handheld cameras. In this pa ..."
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Cited by 3 (0 self)
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This paper investigates the problem of blurring caused by motion during image capture of text documents. Motion blurring prevents proper optical character recognition of the document text contents. One area of such applications is to deblur name card images obtained from handheld cameras
Optical Character Recognition for Typeset Mathematics
- Proc. of Int'l Symp. on Symbolic and Algebraic Computation, (ACM Press) (ISSAC-94
, 1994
"... There is a wealth of mathematical knowledge that could be potentially very useful in many computational applications, but is not available in electronic form. This knowledge comes in the form of mechanically typeset books and journals going back more than a hundred years. Besides these older sources ..."
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Cited by 18 (3 self)
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for further extraction of mathematical content (or any other useful 2-dimensional semantic content). Unfortunately, current commercial OCR (optical character recognition) software packages are quite unable to handle mathematical formulas, since their algorithms at all levels use heuristics developed for other
Keywords—APersian Optical Character Recognition.
"... Abstract — Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. In this paper we introduce a very powerful approach to recognize Persian text. We have used morphological operators, especially Hit/Miss operator to descript each sub-word and by using a ..."
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Abstract — Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. In this paper we introduce a very powerful approach to recognize Persian text. We have used morphological operators, especially Hit/Miss operator to descript each sub-word and by using a
Public Domain Optical Character Recognition
"... A public domain document processing system has been developed by the National Institute of Standards and Technology (NIST). The system is a standard reference form-based handprint recognition system for evaluating optical character recognition (OCR), and it is intended to provide a baseline of perfo ..."
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A public domain document processing system has been developed by the National Institute of Standards and Technology (NIST). The system is a standard reference form-based handprint recognition system for evaluating optical character recognition (OCR), and it is intended to provide a baseline
Optical Character Recognition on Handheld Devices
"... The paper explains how an Optical Character Recognition system (OCR) works and how this system enables us in capturing an image of a text document. It also explains how OCR is more efficient and easier alternative to scanning a document using a scanner as the image captured using OCR is of exactly t ..."
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The paper explains how an Optical Character Recognition system (OCR) works and how this system enables us in capturing an image of a text document. It also explains how OCR is more efficient and easier alternative to scanning a document using a scanner as the image captured using OCR is of exactly
Key Words — Arabic Optical Character Recognition, N-
"... Abstract — In earlier work we have introduced a high accurate Arabic Optical Character Recognition (AOCR) technique. The proposed algorithm is based on the N-Version Programming (NVP) technique and AOCR software. The proposed technique is called Arabic Optical Character Recognition Voting (AOCRV) sc ..."
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Abstract — In earlier work we have introduced a high accurate Arabic Optical Character Recognition (AOCR) technique. The proposed algorithm is based on the N-Version Programming (NVP) technique and AOCR software. The proposed technique is called Arabic Optical Character Recognition Voting (AOCRV
Results 1 - 10
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7,012
