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Listar por palabra clave "Handwritten Text Recognition"

Mostrando ítems 1-10 de 10

A Probabilistic Formulation of Keyword Spotting

Puigcerver I Pérez, Joan (Universitat Politècnica de València, 2019-02-18)

[ES] La detección de palabras clave (Keyword Spotting, en inglés), aplicada a documentos de texto manuscrito, tiene como objetivo recuperar los documentos, o partes de ellos, que sean relevantes para una cierta consulta ...
Advances in Document Layout Analysis

Bosch Campos, Vicente (Universitat Politècnica de València, 2020-03-05)

[EN] Handwritten Text Segmentation (HTS) is a task within the Document Layout Analysis field that aims to detect and extract the different page regions of interest found in handwritten documents. HTS remains an active ...
Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing

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 ...
Character-Based Handwritten Text Recognition of Multilingual Documents

Del Agua Teba, Miguel Angel; Serrano Martinez Santos, Nicolas; Civera Saiz, Jorge; Juan Císcar, Alfonso (Springer Verlag (Germany), 2012)

[EN] An effective approach to transcribe handwritten text documents is to follow a sequential interactive approach. During the supervision phase, user corrections are incorporated into the system through an ongoing retraining ...
Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition)

España Boquera, Salvador (Universitat Politècnica de València, 2016-04-05)

[EN] This work is focused on problems (like automatic speech recognition (ASR) and handwritten text recognition (HTR)) that: 1) can be represented (at least approximately) in terms of one-dimensional sequences, and 2) ...
Development and experimentation of a deep learning system for convolutional and recurrent neural networks

Mocholí Calvo, Carlos (Universitat Politècnica de València, 2018-09-11)

[EN] At present, there are very few deep learning toolkits focused on the task of Handwritten Text Recognition (HTR). HTR refers to the problem of recognizing a sequence of characters in an input image. For this reason, ...
Exploiting Existing Modern Transcripts for Historical Handwritten Text Recognition

Villegas, Mauricio; Toselli, Alejandro Héctor; Romero Gómez, Verónica; Vidal, Enrique (IEEE, 2016)

[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 ...
ICFHR2014 Competition on Handwritten Text Recognition on tranScriptorium Datasets (HTRtS)

Sánchez Peiró, Joan Andreu; Romero Gómez, Verónica; Toselli, Alejandro Héctor; Vidal Ruiz, Enrique (IEEE, 2014-09-01)

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 ...
ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset

Sánchez Peiró, Joan Andreu; Romero Gómez, Verónica; Toselli, Alejandro Héctor; Vidal, Enrique (IEEE, 2016)

[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 ...
Optimización de un sistema de indexación y búsqueda de palabras clave en grandes colecciones de imágenes de texto manuscrito

Noya García, Ernesto (Universitat Politècnica de València, 2015-10-06)

[ES] El aumento de libros manuscritos digitalizados, y la falta de herramientas precisas para clasificarlos, ha motivado la creación de un consorcio de universidades europeas bajo el cual la universidad politécnica de ...