Featured Application Optical Character Recognition for Handwritten Bengali Numerals,
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …

Since the past two decades, detecting text regions in complex natural images has emerged
as a problem of great interest for the research fraternity. This is because these regions of …

Based on the existing optimization neural network algorithm, this paper introduces a simple
and computationally efficient adaptive mechanism (adaptive exponential decay rate). By …

Palm leaf manuscript is a rich source of information pertaining to culture and heritage from
the ancient period which is written on Palm leaves. They share surplus knowledge base in …

This article aims to explore the association as well as the variation between the digit images
taken from multiple benchmark datasets, which is experimented and compared in different …

Bengali, the seventh most spoken language in the world by the number of speakers, doesn't
have a well-established Optical Character Recognition (OCR) system for handwritten texts …

This research has shown that public hospitals need a digitization model that allows the
availability of medical records for patient medical consultation within a repository that unifies …

Recognition of degraded printed Kannada characters is a challenging research problem.
Proposed in this paper is a deep convolutional neural network for recognition of degraded …

Handwritten Character Recognition is the ability of a system to identify handwritten
characters from input sources. However, the recognition becomes more difficult when it is …