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Recognition of Screen-Rendered Text

18th International Conference on Pattern Recognition (ICPR'06), 2006
The recognition of screen-rendered text is to our knowledge a yet unaddressed task. It has to be performed e.g. by translation tools which allow users to click on any text on the screen and give a translation. This often requires to capture a screenshot and to perform optical character recognition which is very challenging due to very small and ...
Steffen Wachenfeld   +2 more
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Object Reading: Text Recognition for Object Recognition

2012
We propose to use text recognition to aid in visual object class recognition. To this end we first propose a new algorithm for text detection in natural images. The proposed text detection is based on saliency cues and a context fusion step. The algorithm does not need any parameter tuning and can deal with varying imaging conditions. We evaluate three
Karaoglu, S.   +2 more
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Occluded text restoration and recognition

Proceedings of the 9th IAPR International Workshop on Document Analysis Systems, 2010
Text occlusion is among the most intractable obstacles for OCR engines. A typical example in document images is visible watermark characters, which are often occluded by foreground contents. This paper proposes a solution by restoring watermark characters before recognition. The text restoration process consists a core module as patch-based restoration
Lanlan Chang   +5 more
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Recognition of Short Handwritten Texts

2004
Building on our 10-year-experience with script recognition systems, a new reader generation was designed. Previously, only single handwritten words were compared against a dictionary. Now a short text is modeled and processed as a whole. The system does not proceed in a linear fashion anymore, but uses feedback between image processing, character ...
Michael Boldt, Christopher Asp
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HIDDEN MARKOV MODELS IN TEXT RECOGNITION

International Journal of Pattern Recognition and Artificial Intelligence, 1995
A multi-level multifont character recognition is presented. The system proceeds by first delimiting the context of the characters. As a way of enhancing system performance, typographical information is extracted and used for font identification before actual character recognition is performed. This has the advantage of sure character identification as
Anigbogu, J.-C., Belaïd, Abdel
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Characteristics of Optical Text Recognition Programs

Programming and Computer Software, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vladimir L. Arlazarov   +2 more
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Automated text recognition.

1993
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993. ; Includes bibliographical references (leaves 92-96). ; by Mohamad A. Akra. ; Ph.D.
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Automatic text recognition for video indexing

Proceedings of the fourth ACM international conference on Multimedia - MULTIMEDIA '96, 1996
Efficient indexing and retrieval of digital video is an important aspect of video databases. One powerful index for retrieval is the text appearing in them. It enables content- based browsing. We present our methods for automatic segmentation and recognition of text in digital videos.
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Text Recognition in the Wild: A Survey

ACM Computing Surveys, 2022
Canjie Luo, Lianwen Jin, Yuanzhi Zhu
exaly  

Scene Text Recognition: An Overview

2022
Shiqi Liang, Ning Bi, Jun Tan 0001
openaire   +1 more source

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