Detection and localization of regions of images that attract immediate human visual attention
is currently an intensive area of research in computer vision. The capability of automatic …

Nowadays, deep learning is a current and a stimulating field of machine learning. Deep
learning is the most effective, supervised, time and cost efficient machine learning approach …

The preservation and digitization of historical data are crucial for ensuring the continuity and
accessibility of information over successive generations. The present study investigates the …

Nowadays, deep learning methods are employed in a broad range of research fields. The
analysis and recognition of historical documents, as we survey in this work, is not an …

Abstract Handwritten Word Recognition and Spotting is a challenging field dealing with
handwritten text possessing irregular and complex shapes. The design of deep neural …

We present a framework for learning an efficient holistic representation for handwritten word
images. The proposed method uses a deep convolutional neural network with traditional …

The dramatic development of technology in recent years has affected most organizations
and companies. Artificial intelligence (AI) and Blockchain can be mentioned as the most …

This thesis, first defines the goal of Keyword Spotting from a Decision Theory perspective.
Then, the problem is tackled following a probabilistic formulation. More precisely, Keyword …

The accurate understanding of documents depends on the effective processing of its
individual modalities such as text, diagrams, tables, charts, and etc. While many research …

Ancient scripts, documents and photos are valuable supports that opened a window to
humanity's past, its social and cultural treasure. However, due to the inevitable deterioration …