Kannada handwritten reports were the only way of documentation available in government
offices and healthcare departments in Karnataka state. Reproducing the contents of these …

Character segmentation from text lines in degraded historical document images is
challenging due to complex background and non-availability of regular structures of text …

In this paper, SFF (Segmentation Facilitate Feature) technique is proposed to find the
junction path to segment touched components based on the seed pixel selected among …

The clusters of historical documents are of great importance in terms of cultural and
scientific. In order to access the documents, originality should be maintained. So conversion …

Segmentation of handwritten document images is a complex task due to the variability in the
writing styles. The segmentation technique has to deal with non-uniformly skewed …

Construction of an Optical Character Recognition (OCR) model for handwritten documents
poses many challenges, the most prominent of them being dataset collection, character …

Abstract Recognition of Kannada Characters is a complex task as the number of classes in
Kannada language by considering all combinations of vowels and consonants is 623,893. In …

A Pre-processing is the initial and vital phase in optical character recognition is the Pre-
processing. Segmentation deals with the extraction of individual component from a …

This research paper deals with the challenges of digitizing ancient Kannada manuscripts,
addressing all the complex features of the Kannada script which has different types of …

The proposed work intends to segment margin and page based on the answers of the
handwritten university answer scripts, which further helps in the automatic evaluation of …