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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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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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A multiple agent architecture for handwritten text recognition
Pattern Recognition, 2004This 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 +2 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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A Database for Offline Arabic Handwritten Text Recognition
2011Arabic handwritten text recognition has not received the same attention as that directed towards Latin script-based languages. In this paper, we present our efforts to develop a comprehensive Arabic Handwritten Text database (AHTD). At this stage, the database will consist of text written by 1000 writers from different countries. Currently, it has data
Sabri A. Mahmoud +3 more
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A Unified Architecture for Urdu Printed and Handwritten Text Recognition
IEEE International Conference on Document Analysis and Recognition, 2023Arooba Maqsood +3 more
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