The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

The term handwriting recognition is used to describe the capability of a computer system to
transform human handwriting into machine processable text. Handwriting recognition has …

Handwritten document recognition has been an active domain of research in the field of
computer vision for several years since 1914 with the development of handheld scanner for …

Videos–a high volume of texts–broadcast via different media, such as television and the
internet. Since Optical Character Recognition (OCR) engines are script-dependent, script …

Script recognition has many real-life applications like optical character recognition,
document archiving, writer identification, searching within the documents, etc. Automatic …

Script identification from complex and colorful images is an integral part of the text
recognition and classification system. Such images may contain twofold challenges:(1) …

In this paper, we propose a novel approach of word-level Indic script identification using only
character-level data in training stage. Our method uses a multi-modal deep network which …

In India, which has numerous officially recognized scripts, there is a primary need for
categorizing the documents on the basis of the scripts used therein. Identification of script …

Script identification plays a vital role in applications that involve handwriting and document
analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a profound …

Isolating non-text components from the text components present in handwritten document
images is an important but less explored research area. Addressing this issue, in this paper …