Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …

The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

In this work we present an end-to-end system for text spotting—localising and recognising
text in natural scene images—and text based image retrieval. This system is based on a …

The goal of this work is text spotting in natural images. This is divided into two sequential
tasks: detecting words regions in the image, and recognizing the words within these regions …

This paper addresses the problems of word spotting and word recognition on images. In
word spotting, the goal is to find all instances of a query word in a dataset of images. In …

In recent years, deep convolutional neural networks have achieved state of the art
performance in various computer vision tasks such as classification, detection or …

For retrieving keywords from scanned handwritten documents, we present a word spotting
system that is based on character Hidden Markov Models. In an efficient lexicon-free …

Document recognition and retrieval technologies complement one another, providing
improved access to increasingly large document collections. While recognition and retrieval …

Keyword spotting refers to the process of retrieving all instances of a given keyword from a
document. In the present paper, a novel keyword spotting method for handwritten …

Vast collections of documents available in image format need to be indexed for information
retrieval purposes. In this framework, word spotting is an alternative solution to optical …