Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

Document image classification is an important step in Office Automation, Digital Libraries,
and other document image analysis applications. There is great diversity in document image …

Text/graphics separation aims at segmenting the document into two layers: a layer assumed
to contain text and a layer containing graphical objects. In this paper, we present a …

During the past decade, data warehousing has been widely adopted in the business
community. It provides multi-dimensional analyses on cumulated historical business data for …

In this article, a region-based Deep Convolutional Neural Network framework is presented
for document structure learning. The contribution of this work involves efficient training of …

With the advance of technology, business offices and organizations together with their
clients create a massive amount of administrative documents every day. Administrative …

Classification is an important problem in image document processing and is often a
preliminary step toward recognition, understanding, and information extraction. In this paper …

In this paper we introduce a novel document image classification method based on
combined visual and textual information. The proposed algorithm's pipeline is inspired to the …

In this paper a system for processing documents that can be grouped into classes is
illustrated. We have considered invoices as a case-study. The system is divided into three …

Mutual information is one of the mostly used measures for evaluating image similarity. In this
paper, we investigate the application of three different Tsallis-based generalizations of …