HMM word graph based keyword spotting in handwritten document images
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 …
probabilities. These posteriors are obtained using word graphs derived from the recognition …
A probabilistic framework for lexicon-based keyword spotting in handwritten text images
Query by String Keyword Spotting (KWS) is here considered as a key technology for
indexing large collections of handwritten text images to allow fast textual access to the …
indexing large collections of handwritten text images to allow fast textual access to the …
A word-based naïve Bayes classifier for confidence estimation in speech recognition
Confidence estimation has been largely used in speech recognition to detect words in the
recognized sentence that have been likely misrecognized. Confidence estimation can be …
recognized sentence that have been likely misrecognized. Confidence estimation can be …
[PDF][PDF] Handwriting recognition in historical documents
A Fischer - 2012 - researchgate.net
This thesis investigates pattern recognition methods for handwriting recognition in historical
documents. The aim of these methods is to automatically extract textual content from …
documents. The aim of these methods is to automatically extract textual content from …
Interactive handwriting recognition with limited user effort
Transcription of handwritten text in (old) documents is an important, time-consuming task for
digital libraries. Although post-editing automatic recognition of handwritten text is feasible, it …
digital libraries. Although post-editing automatic recognition of handwritten text is feasible, it …
Hidden markov models for off-line cursive handwriting recognition
Hidden Markov models nowadays belong to the most widely used statistical models for the
challenging task of handwriting recognition in document images. In this chapter, we describe …
challenging task of handwriting recognition in document images. In this chapter, we describe …
Balancing error and supervision effort in interactive-predictive handwriting recognition
An effective approach to transcribe handwritten text documents is to follow an interactive-
predictive paradigm in which both, the system is guided by the user, and the user is assisted …
predictive paradigm in which both, the system is guided by the user, and the user is assisted …
Adaptation from partially supervised handwritten text transcriptions
An effective approach to transcribe handwritten text documents is to follow an interactive-
predictive paradigm in which both, the system is guided by the user, and the user is assisted …
predictive paradigm in which both, the system is guided by the user, and the user is assisted …
[PDF][PDF] Confidence measures for error discrimination in an interactive predictive parsing framework
We study the use of Confidence Measures (CM) for erroneous constituent discrimination in
an Interactive Predictive Parsing (IPP) framework. The IPP framework allows to build …
an Interactive Predictive Parsing (IPP) framework. The IPP framework allows to build …
Interactive-predictive detection of handwritten text blocks
A method for text block detection is introduced for old handwritten documents. The proposed
method takes advantage of sequential book structure, taking into account layout information …
method takes advantage of sequential book structure, taking into account layout information …