Motion detection can play an important role in many vision tasks. Yet image motion can arise
from" uninteresting" events as well as interesting ones. In this paper, salient motion is …

Deep Convolutional Neural Networks (CNN) have shown great success in supervised
classification tasks such as character classification or dating. Deep learning methods …

This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

Feature engineering takes a very important role in writer identification which has been
widely studied in the literature. Previous works have shown that the joint feature distribution …

The encoding of local features is an essential part for writer identification and writer retrieval.
While CNN activations have already been used as local features in related works, the …

Data augmentation is typically used by supervised feature learning approaches for offline
writer identification, but such approaches require a mass of additional training data and …

Offline writer identification plays an important role in forensic document examination and
historical document analysis. Today, challenges still exist in historical writer identification …

Text-to-Image synthesis is the task of generating an image according to a specific text
description. Generative Adversarial Networks have been considered the standard method …

Writer identification from handwriting samples has been an interesting research problem for
the pattern recognition community in general and handwriting recognition community in …

This paper presents the results of the ICDAR2017 Competition on the Classification of
Medieval Handwritings in Latin Script (CLaMM), jointly organized by Computer Scientists …