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A set of benchmarks for Handwritten Text Recognition on historical documents [PDF]

Pattern Recognition, 2019
[EN] Handwritten Text Recognition is a important requirement in order to make visible the contents of the myriads of historical documents residing in public and private archives and libraries world wide.
Joan Andreu Sanchez, Veronica Romero, Alejandro H Toselli   +2 more
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Ancient text recognition: a review

Artificial Intelligence Review, 2020
Optical character recognition (OCR) is an important research area in the field of pattern recognition. A lot of research has been done on OCR in the last 60 years. There is a large volume of paper-based data in various libraries and offices. Also, there is a wealth of knowledge in the form of ancient text documents.
Sonika Rani Narang, Manish Kumar Jindal, Munish Kumar   +2 more
openaire   +1 more source

Mosaicing-by-recognition for video-based text recognition

Pattern Recognition, 2008
Text recognition captured in multiple frames by a hand-held video camera is a challenging task because it is possible to capture and recognize a longer line of text while improving the quality of the text image by utilizing the redundancy of the overlapping areas between the frames.
Seiichi Uchida, Hiromitsu Miyazaki, Hiroaki Sakoe   +2 more
openaire   +1 more source

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, Hans-Ulrich Klein, Xiaoyi Jiang 0001   +2 more
openaire   +1 more source

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, Jun Sun 0004, Misako Suwa, Hiroaki Takebe, Yuan He 0001, Satoshi Naoi   +5 more
openaire   +1 more source

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., van Gemert, J.C., Gevers, T.   +2 more
openaire   +2 more sources

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, A. S. Loginov, O. A. Slavin   +2 more
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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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