This paper addresses the problems of word spotting and word recognition on images. In
word spotting, the goal is to find all instances of a query word in a dataset of images. In …

Optical character recognition (OCR) is an important research area in the field of pattern
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …

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 …

Searching and indexing historical handwritten collections are a very challenging problem.
We describe an approach called word spotting which involves grou** word images into …

Optical Character recognition is an eminent topic of research in modern times. An
exhaustive research is going on character recognition of different languages. These …

In this paper, we present a segmentation methodology of handwritten documents in their
distinct entities, namely, text lines and words. Text line segmentation is achieved by applying …

Two novel approaches to extract text lines and words from handwritten document are
presented. The line segmentation algorithm is based on locating the optimal succession of …

Text line segmentation in freestyle handwritten documents remains an open document
analysis problem. Curvilinear text lines and small gaps between neighboring text lines …

Imagine a world where people constantly try to pass through walls and cars suddenly leave
the roads and drive into rivers. Although this is unrealistic, most simulations for mobile ad …

The word and character segmentation in ancient handwritten Devanagari (Indian) and
Maithili (Indian) documents in order to develop any optical character recognition (OCR) …