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 …

From the early days of pattern recognition, word spotting have been important test beds for
studying how well machines can perform better decision making. In recent years, word …

The paper proposes a performance model for estimating the improvement of the time
needed to transcribe small collections of handwritten documents by using a keyword …

There exist huge amount of valuable historical Devanagari documents archived in many
national libraries that need to be preserved in digital form. Additionally, there is a growing …

Background in a handwritten document can be anything other than the words we are
interested in. The characteristics of the background are typically captured by a background …

This paper proposes a performance model for estimating the user time needed to transcribe
small collections of handwritten documents using a keyword spotting system (KWS) that …

We propose a segmentation free word spotting framework using Dynamic Background
Model. The proposed approach is an extension to our previous work where dynamic …

Massive group of valuable historical documents are existing in many national libraries.
There is a need for creation of digital libraries that helps in information retrieval. Word …

We propose a bayesian framework for keyword spotting in handwritten documents. This
work is an extension to our previous work where we proposed dynamic background model …

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 …