Line-level keyword spotting (KWS) is presented on the basis of frame-level word posterior
probabilities. These posteriors are obtained using word graphs derived from the recognition …

To date, automatic handwriting recognition systems are far from being perfect and heavy
human intervention is often required to check and correct the results of such systems. This …

This book presents an interactive multimodal approach for efficient transcription of
handwritten text images. This approach, rather than full automation, assists the expert in the …

Open source code contributions contain a large amount of technical skill information about
developers, which can help to identify suitable candidates for a particular development job …

Covert channels emerged in mystery and departed in confusion. Covert channels are a
means of communication between two processes that are not permitted to communicate, but …

The so-called filler or garbage Hidden Markov Models (HMM) are among the most widely
used models for lexicon-free, query by string key word spotting in the fields of speech …

This thesis investigates pattern recognition methods for handwriting recognition in historical
documents. The aim of these methods is to automatically extract textual content from …

Speech technologies have developed in the last twenty years and now allow the
implementation of real-world speech applications. Furthermore, handwriting recognition has …

In this paper we present an approach for text line analysis and detection in handwritten
documents based on Hidden Markov Models, a technique widely used in other handwritten …

Being able to search for words or phrases in historic handwritten documents is of paramount
importance when preserving cultural heritage. Storing scanned pages of written text can …