Deep learning network (DLN) is defined as the neural network characterized by complex
connected layers to handle a large volume of data, automatic extraction of features, and …

Handwritten character recognition is a very interesting and challenging branch of pattern
recognition. It has an impressive range of applications, from filling up banking applications to …

Due to expanded praxis of social media, there is an elevated interest in the Natural
Language Processing (NLP) of textual substance. Code swapping is a ubiquitous paradox …

Kannada, A dravidian language of south India that consists of kannada numerals from 0 to 9
and 49 letters that are further classified into swara, vyanjana and yogavahagalu. The task …

India is a country with many states, the form of documentation in Government offices and
healthcare departments are in regional languages, and digitizing the document is a …

Handwritten Character Recognition and Identification are one of the most interesting
problem statements in the present digitized world because of its variety of applications. It has …

With the increasing usage of Artificial intelligence (AI), many research challenges can be
easily addressed and one such challenge is Handwritten character recognition. Kannada is …

Image quality greatly affects the object recognition process in the image. If the image quality
is not good, the recognition process becomes more difficult. Preprocessing, feature …

Addressing real-time translation and accessibility challenges in historical manuscripts
written in the Devanagiri script, this research introduces an implementation of Optical …

Language plays a significant role in the identity of a person, it expresses history and culture.
But with increasing popularity of cosmopolitan culture, the new generation is moving away …