The aim of this paper is to develop a hybrid model of a powerful Convolutional Neural
Networks (CNN) and Support Vector Machine (SVM) for recognition of handwritten digit from …

Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …

A computer's capacity is to obtain and understand the intelligible, handwritten information
from sources, such as paper files, images, touch screens and other appliances is a …

This paper presents a comprehensive review of Handwritten Character Recognition (HCR)
in English language. The handwritten character recognition has been applied in variety of …

The recognition of handwritten characters has always been a very difficult task because of
the many variations of handwritten characters with different writing styles. This type of …

This paper introduces a new publicly available image-based Swedish historical handwritten
character and word dataset named Character Arkiv Digital Sweden (CArDIS)(https …

Tamil character recognition serves as a vital research problem in pattern recognition since
there are many serious technical difficulties due to similarity and complexity of characters …

ABSTRACT Nowadays Hand written Character Recognition (HCR) is major remarkable and
difficult research domain in the area of Image processing. Recognition of Handwritten …

Handwritten character recognition systems are used in every field of life nowadays,
including shop** malls, banks, educational institutes, etc. Urdu is the national language of …

Accepted: 12/Feb/2019, Published: 28/Feb/2019 Abstract-In this paper we present a
handwritten Hindi character recognition system based on different Deep learning technique …