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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Bastien Moysset


PhD student

Team Feature Extraction and Identification
Institution Institut National des Sciences Appliquées de Lyon
Location Jules Verne (INSA)
E-mail bastien.moysset at
Contact details Publications Thesis
Subject Detection, localization and typing of text in heterogeneous document images with deep neural networks
Abstract This Phd. thesis is about detecting and localizing text lines in highly heterogeneous document databases with complex layouts. For this, we plan to use Machine Learning techniques and, in particular, neural networks. The two main contributions, up to date, are the use of a Recurrent Neural Network within a CTC framework for the segmentation of a paragraph into lines and the adaptation of a convolutional neural networks to directly predict line bounding boxes coordinates within a full document image. One of the main remaining challenge is to take the context of the document into account and to model the interraction between the lines.
Advisor Christian Wolf

Last update : 2017-07-06 14:41:42