The rapid growth of digital libraries, e-governance, and internet based applications has
caused an exponential escalation in the volume of 'Big-data'particularly due to texts, images …

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 widespread availability of hand-held devices like tablets, phablets and smart phones,
along with their new handwriting digitizing and their increased computing powers, enable …

Classification has become an important task for automatically categorizing documents
based on their respective group. The purpose of classification is to assign the pre-specified …

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 …

Recently, the area of pattern recognition has attracted the attention of many researchers in
various domain and applications such as biometric, classification problems, and object …

This paper presents a digital image dataset of historical handwritten birth records stored in
the archives of several parishes across Sweden, together with the corresponding metadata …

This work addresses the problem of Question Answering (QA) on handwritten document
collections. Unlike typical QA and Visual Question Answering (VQA) formulations where the …

This article proposes a bi-leveled image classification system to classify printed and
handwritten English documents into mutually exclusive predefined categories. The …

JPEG is one of the popular and efficient compression algorithms supported in the consumer
electronics world. Excessive usage of mobile phones and e‐governance applications have …