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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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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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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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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 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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Recognition and Grouping of Handwritten Text in Diagrams and Equations
Ninth International Workshop on Frontiers in Handwriting Recognition, 2004We 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 +2 more
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Recognition strategies for general handwritten text documents
Integrated Computer-Aided Engineering, 2009This paper presents document recognition strategies for two important applications: 1) Recognition of text document containing multiple lines of text data and 2). Comprehensive Check Image Reader This paper describes the challenges in finding and recognizing the fields of interest on the broad document types.
Malayappan Shridhar +2 more
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Signature Verification Based on Handwritten Text Recognition
2009Signatures continue to be an important biometric trait because it remains widely used primarily for authenticating the identity of human beings. This paper presents an efficient text-based directional signature recognition algorithm which verifies signatures, even when they are composed of special unconstrained cursive characters which are superimposed
Serestina Viriri, Jules-Raymond Tapamo
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