Results 241 to 250 of about 41,003,736 (265)

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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An architecture for handwritten text recognition systems

International Journal on Document Analysis and Recognition, 1999
This 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, Venu Govindaraju, Sargur N. Srihari   +2 more
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Offline arabic handwritten text recognition

ACM Computing Surveys, 2013
Research 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), 2015
Text 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, Joan-Andreu Sánchez, Vicente Bosch, Katrien Depuydt, Jesse de Does   +4 more
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Handwritten Khmer text recognition

2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2016
This 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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Opportunities for Personalization for Crowdsourcing in Handwritten Text Recognition

Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
Transcribing 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, Uri Schor, Vered Raziel-Kretzmer, Dror Elovits, Moshe Lavee, Tsvi Kuflik, Daniel Stoekl Ben Ezra   +6 more
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Handwritten text recognition through writer adaptation

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, 2003
Handwritten 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, Thierry Paquet, Laurent Heutte, Ameur Bensefia   +3 more
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A multiple agent architecture for handwritten text recognition

Pattern Recognition, 2004
This paper investigates the automatic reading of unconstrained omni-writer handwritten texts. It shows how to endow the reading system with learning faculties necessary to adapt the recognition to each writer's handwriting. In the first part of this paper, we explain how the recognition system can be adapted to a current handwriting by exploiting the ...
Laurent Heutte, Ali Nosary, Thierry Paquet   +2 more
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Handwritten Text Recognition

2019
Handwritten Text Recognition: Transkribus and Learned ...
Petrolini C, Wallnig T
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Recognition and Grouping of Handwritten Text in Diagrams and Equations

Ninth International Workshop on Frontiers in Handwriting Recognition, 2004
We present a framework for grouping and recognition of characters and symbols in online free-form ink expressions. The approach is completely spatial; it does not require any ordering on the strokes. It also does not place any constraints on the layout of the symbols. Initially each of the strokes on the page is linked in a proximity graph.
Michael Shilman, Paul A. Viola, Kumar Chellapilla   +2 more
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