[EN] Handwritten Text Recognition is a important requirement in order to make visible the contents of the myriads of historical documents residing in public and private archives and libraries world wide. Automatic Handwritten ...
[EN] Paleography experts spend many hours transcribing historic documents, and state-of-the-art handwritten text recognition systems are not suitable for performing this task automatically. In this paper we present the ...
Granell Romero, Emilio(Universitat Politècnica de València, 2017-09-01)
Natural Language Processing (NLP) is an interdisciplinary research field of Computer Science, Linguistics, and Pattern Recognition that studies, among others, the use of human natural languages in Human-Computer Interaction ...
Alabau, Vicent; Martínez Hinarejos, Carlos David; Romero Gómez, Verónica; Lagarda Arroyo, Antonio Luís(Elsevier, 2014-01)
[EN] The transcription of historical documents is one of the most interesting tasks in which Handwritten Text
Recognition can be applied, due to its interest in humanities research. One alternative for transcribing ...
To date, automatic handwriting text recognition systems are far from being perfect and heavy human intervention is often required to check and correct the results of such systems. As an alternative, an interactive framework ...
Martín-Albo Simón, Daniel(Universitat Politècnica de València, 2011-07-26)
HTR systems don't achieve acceptable results in unconstrained applications. Therefore, it is convenient
to use a system that allows the user to cooperate in the most confortable way with the system to
generate a correct ...
Sánchez Peiró, Joan Andreu; Romero, Verónica(Elsevier, 2020-04)
[EN] The computation of moments of probabilistic finite-state automata (PFA) is researched in this article. First, the computation of moments of the length of the paths is introduced for general PFA, and then, the computation ...
Leiva, Luis A.; Alabau, Vicent; Romero Gómez, Verónica; Toselli, Alejandro Héctor; Vidal, Enrique(Oxford University Press, 2015)
[EN] This work is focused on enhancing highly interactive text-editing applications with gestures. Concretely, we study Computer Assisted Transcription of Text Images (CATTI), a handwriting transcription system that follows ...
Martín-Albo Simón, Daniel(Universitat Politècnica de València, 2016-09-01)
[EN] Computers are now present everywhere, but their potential is not fully exploited due to some lack of acceptance. In this thesis, the pen computer paradigm is adopted, whose main idea is to replace all input devices ...
A large quantity of documents used every day are still handwritten. However, it is interesting to transform each of these documents into its digital version for managing, archiving and sharing. Here we present Escritoire, ...
[EN] Existing transcripts for historic manuscripts are a very valuable resource for training models useful for automatic recognition, aided transcription, and/or indexing of the remaining untranscribed parts of these ...
Tran Scriptorium is a 3-years project that aims to develop innovative, cost-effective solutions for the indexing, search and full transcription of historical handwritten document images, using Handwritten Text Recognition ...
Sánchez Peiró, Joan Andreu; Bosch Campos, Vicente; Romero Gómez, Verónica; Depuydt, Katrien; De Does, Jesse(ACM, 2014-05)
Transcription of historical handwritten documents is a crucial
problem for making easier the access to these documents
to the general public. Currently, huge amount of historical
handwritten documents are being made ...
[EN] Line-level keyword spotting (KWS) is presented on the basis of frame-level word posterior
probabilities. These posteriors are obtained using word graphs derived from the recogni-
tion process of a full-fledged ...
A contest on Handwritten Text Recognition organised
in the context of the ICFHR 2014 conference is described.
Two tracks with increased freedom on the use of training
data were proposed and three research groups ...
[EN] This paper describes the Handwritten Text Recognition (HTR) competition on the READ dataset that has been held in the context of the International Conference on Frontiers in Handwriting Recognition 2016. This ...
[EN] Handwritten document transcription aims to obtain the contents of a document to provide efficient information access to, among other, digitised historical documents. The increasing number of historical documents ...
A multimodal interactive approach for transcription of ancient documents is proposed. In this approach, user’s feedback directly facilitates improvements to system accuracy while multimodality increases system ergonomy and ...
Currently, automatic handwriting recognition systems are ineffectual in unconstrained handwriting documents. Therefore, to obtain perfect transcriptions, heavy human intervention is required to validate and correct the ...
The amount of digitized legacy documents has been rising dramatically over the last years due mainly to the increasing number of on-line digital libraries publishing this kind of documents. On one hand, the vast majority ...