Abstract Offline Script Identification (OSI) facilitates many important applications such as
automatic archiving of multilingual documents, searching online/offline archives of document …

Handwriting recognition (HWR) in Indic scripts, like Devanagari is very challenging due to
the subtleties in the scripts, variations in rendering and the cursive nature of the handwriting …

Word segmentation is a crucial phase for handwritten text recognition. When the input image
contains several words written into multiple text lines, it is essential to separate or segment …

Keyword spotting aims to retrieve all instances of a given keyword from a document in any
language. In this paper, we propose a novel script independent line based word spotting …

Handwritten text recognition (htr) for Indian languages is not yet a well-studied problem. This
is primarily due to the unavailability of large annotated datasets in the associated scripts …

The research community considers handwritten word recognition (HWR) as an open
research problem to date. The reasons behind this are variations in intra-/interpersonal …

Deep learning models are considered a revolutionary learning paradigm in artificial
intelligence and machine learning, piquing the interest of image recognition and computer …

Handwriting recognition (HWR) in Indic scripts is a challenging problem due to the inherent
subtleties in the scripts, cursive nature of the handwriting and similar shape of the …

We propose a statistical script independent line based word spotting framework for offline
handwritten documents based on Hidden Markov Models. We propose and compare an …

Holistic word recognition attempts to recognize the entire word image as a single pattern. In
general, it performs better than segmentation based word recognition model for known, fixed …