Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.
This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.
Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.
Contents: IntroductionRelated WorkDatasetsGraph RepresentationsGraph MatchingGraph-Based Keyword SpottingExperimentsConclusion & Future WorkAppendices:Visualisation of Graph RepresentationsOptimisation of the ParametersEnsemble Methods
Readership: Professionals, academics, researchers and graduate students in pattern recognition, AI, and databases.Keyword Spotting;Graph Matching;Graph Representation;Handwritten Historical Documents;Document Analysis00
