Results 141 to 150 of about 393 (182)
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On-line handwritten text categorization

SPIE Proceedings, 2009
As new innovative devices, accepting or producing on-line documents, emerge, managing facilities for these kinds of documents such as topic spotting are required. This means that we should be able to perform text categorization of on-line documents. The textual data available in on-line documents can be extracted through online recognition, a process ...
Peña Saldarriaga, Sebastián   +2 more
openaire   +1 more source

Smooth Morphing of Handwritten Text

Proceedings of the working conference on Advanced visual interfaces, 2004
There are several approaches for pen-based systems to improve legibility of handwritten text, e.g. smoothing the strokes composing the characters and words. A very challenging solution is the smooth morphing approach: handwritten strokes are transformed gradually into perfectly legible characters provided by a previously executed handwriting ...
Conrad Pomm, Sven Werlen
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Interactive Off-Line Handwritten Text Transcription Using On-Line Handwritten Text as Feedback

2013 12th International Conference on Document Analysis and Recognition, 2013
Handwritten Text Recognition is a problem that has gained attention in the last years mainly due to the interest in the transcription of historical documents. However, the automatic transcription is ineffectual in unconstrained handwritten documents. Thus, human intervention is typically needed to correct the results. Given that a post-editing approach
Daniel Martín-Albo   +2 more
openaire   +1 more source

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
openaire   +1 more source

Language Technology for Handwritten Text Recognition

2012
Work supported by the EC (FEDER), the Spanish MEC under the MIPRCV “Consolider Ingenio 2010” research programme (CSD2007- 00018) and the Spanisg Government (MICINN and “Plan E”) under the MITTRAL (TIN2009-14633-C03-01) research project.
Alejandro H. Toselli   +5 more
openaire   +3 more sources

Segmentation of Bangla unconstrained handwritten text

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2005
To take care of variability involved in the writing style ofdifferent individuals in this paper we propose a robustscheme to segment unconstrained handwritten Banglatexts into lines, words and characters. For linesegmentation, at first, we divide the text into verticalstripes.
U. Pal 0001, Sagarika Datta
openaire   +2 more sources

Identifying Handwritten Text in Mixed Documents

18th International Conference on Pattern Recognition (ICPR'06), 2006
In this paper we present a system for classification of machine printed and handwritten text in mixed documents. The classification is performed at the word level. We propose a feature extraction algorithm for each word image based on Gabor filters followed by classification using an expectation maximization (EM) based probabilistic neural network that
Faisal Farooq   +2 more
openaire   +1 more source

A System for Bangla Online Handwritten Text

2013 12th International Conference on Document Analysis and Recognition, 2013
Recognition of Bangla compound characters has rarely got attention from researchers. This paper deals with segmentation and recognition of online handwritten Bangla cursive text containing basic and compound characters and all types of modifiers. Here, at first, we segment cursive words into primitives. Next primitives are recognized.
Nilanjana Bhattacharya 0001   +2 more
openaire   +1 more source

Segmentation of offline handwritten Arabic text

2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR), 2017
Arabic script is cursive in both printed and handwritten forms. This intrinsic nature of cursiveness renders the segmentation task challenging. An Arabic word generally consists of multiple parts known as Parts of Arabic Words (PAWs) or simply sub-words.
Hashem Ghaleb   +2 more
openaire   +2 more sources

Handwritten text localization in skewed documents

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
A system for handwritten text localization in document images is proposed. Our system performs skew angle correction using the Wigner-Ville distribution and localizes the handwritten areas of the document based on several measures concerning regularity in shape (self-correlation, horizontal and vertical symmetry) and in dimensions (aspect ratio ...
Ergina Kavallieratou   +3 more
openaire   +2 more sources

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