In this paper, we propose a learning based method for handwritten text line segmentation in document images. The originality of our approach rely on i) the ...
Mar 1, 2018 · The authors present a novel approach that trains a fully convolutional network (FCN) to predict text line structure in document images.
Jan 20, 2021 · This paper presents a method for text line segmentation of challenging historical manuscript images.
Abstract—In this paper, we propose a learning based method for handwritten text line segmentation in document images. The originality of our approach rely ...
Line detection in handwritten documents is an important problem for processing of scanned documents. While existing approaches mainly use hand-designed ...
A novel approach that trains a fully convolutional network (FCN) to predict text line structure in document images and shows high performance together with ...
A Fully Convolution Network (FCN) was proposed for segmenting the historical document images [41, 42] . Fast CNN network was proposed for automatic analysis of ...
Abstract: In this paper, we propose a learning based method for handwritten text line segmentation in document images. The originality of our approach rely ...
A learning based method for handwritten text line segmentation in document images using a variant of deep Fully Convolutional Network based on dilated ...
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This paper presents a method for text line segmentation of challenging historical manuscript images. These manuscript images contain narrow interline spaces ...