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Recognition of Short Handwritten Texts
2004Building 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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Language Technology for Handwritten Text Recognition
2012Work 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
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An architecture for handwritten text recognition systems
International Journal on Document Analysis and Recognition, 1999This paper presents an end-to-end system for reading handwritten page images. Five functional modules included in the system are introduced in this paper: (i) pre-processing, which concerns introducing an image representation for easy manipulation of large page images and image handling procedures using the image representation; (ii) line separation ...
Gyeonghwan Kim +2 more
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Opportunities for Personalization for Crowdsourcing in Handwritten Text Recognition
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020Transcribing historical handwritten documents is a difficult task. One facet is that it is a very tedious task normally performed by experts. Some newer techniques rely on crowdsourcing of manual transcription. Crowdsourcing helps speeding up the transcription process, but it is still limited and brings with it new challenges.
Alan J. Wecker +6 more
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Offline arabic handwritten text recognition
ACM Computing Surveys, 2013Research in offline Arabic handwriting recognition has increased considerably in the past few years. This is evident from the numerous research results published recently in major journals and conferences in the area of handwriting recognition. Features and classifications techniques utilized in recent research work have diversified noticeably compared
Mohammad Tanvir Parvez, Sabri A. Mahmoud
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Influence of text line segmentation in Handwritten Text Recognition
2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015Text line segmentation is the process by which text lines in a document image are localized and extracted. It is an important step in off-line Handwritten Text Recognition (HTR) given that the input of these systems is the line image of the text to be transcribed.
Verónica Romero 0001 +4 more
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Handwritten Khmer text recognition
2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2016This paper proposes a model for an offline handwritten Khmer character recognition. We make use of two dimensional Fourier transformation for feature selection and feed-forward Artificial Neural Net as classification tool. The recognition system allows using the nature of Khmer writing, which is an example of alphasyllabary (Abugida) writing systems ...
Bayram Annanurov, Norliza Mohd Noor
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Handwritten Text Recognition for Marriage Register Books
2011 International Conference on Document Analysis and Recognition, 2011Marriage register books are documents that were used for centuries by ecclesiastical institutions to register marriages. Most of these books were handwritten. These documents have interesting information, useful for demography studies. The information in these books is usually collected by expert demographers that devote a lot of time to transcribe ...
Verónica Romero 0001 +3 more
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Handwritten text recognition through writer adaptation
Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, 2003Handwritten text recognition is a problem rarely studied out of specific applications for which lexical knowledge can constrain the vocabulary to a limited one. In the case of handwritten text recognition, additional information can be exploited to characterize the specificity of the writing.
Ali Nosary +3 more
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2019
Handwritten Text Recognition: Transkribus and Learned ...
Petrolini C, Wallnig T
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Handwritten Text Recognition: Transkribus and Learned ...
Petrolini C, Wallnig T
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