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Found 8 papers, 0 papers with code
Unsupervised learning of text line segmentation by differentiating coarse patterns
In this paper, we present an unsupervised deep learning method that embeds document image patches to a compact Euclidean space where distances correspond to a coarse text line pattern similarity.
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network
This paper presents a method for text line segmentation of challenging historical manuscript images.
VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset
This paper publishes a natural and very complicated dataset of handwritten documents with multiply oriented and curved text lines, namely VML-MOC dataset.
Unsupervised Deep Learning for Handwritten Page Segmentation
The network is trained that spatially nearby patches are similar.
Text line extraction using fully convolutional network and energy minimization
Despite recent progress in text line detection, text line extraction from a handwritten document remains an unsolved task.
ContourCNN: convolutional neural network for contour data classification
This paper proposes a novel Convolutional Neural Network model for contour data analysis (ContourCNN) and shape classification.
Unsupervised deep learning for text line segmentation
We present an unsupervised deep learning method for text line segmentation that is inspired by the relative variance between text lines and spaces among text lines.
Writing Style Invariant Deep Learning Model for Historical Manuscripts Alignment
Historical manuscript alignment is a widely known problem in document analysis.
