A huge amount of information in libraries and cultural institutions exist all over the world and
need to be digitized so as to preserve it and protect it from frequent handling. In order to …

Word spotting strategies employed in historical handwritten documents face many
challenges due to variation in the writing style and intense degradation. In this paper, a new …

Along with the explosive growth of the amount of handwritten documents that are preserved,
processed and accessed in a digital form, handwritten document images word spotting has …

The retrieval of keywords from handwritten documents is tasked between one or more query
word in a database. The works involves segment the individual words from the document …

Recent advances in on-line data capturing technologies and its widespread deployment in
devices like PDAs and notebook PCs is creating large amounts of handwritten data that …

Recent advances in on-line data capturing technologies and its widespread deployment in
devices like PDAs and notebook PCs is creating large amounts of handwritten data that …

In this paper, a segmentation-free and training-free word spotting method is proposed that
allows mobile device users to search instances of a query word in handwritten document …

Word spotting strategies employed in historical handwritten documents face many
challenges due to variation in the writing style and intense degradation. In this paper, a new …

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 …