Handwritten character recognition (HCR) is the detection of characters from images,
documents and other sources and changes them in machine-readable shape for further …

Handwritten Character Recognition (HCR) plays an important role in Optical character
Recognition (OCR) and Pattern Recognition (PR), as it has a good number of applications in …

Automatic handwritten characters' recognition is one of Artificial intelligence applications
which is considered an interesting research area and important in various fields. Many …

Handwritten documents recognition is a challenging task in the field of pattern recognition. It
has an array of applications wherein recognition of words, alphabets, digits and other …

Abstract Convolutional Neural Networks (CNN) are playing a vital role nowadays in every
aspect of computer vision applications. In this paper we have used the state of the art CNN …

In this project we explored the performance of deep convolutional neural network on
recognizing handwritten Chinese characters. We ran experiments on a 200-class and a …

The handwritten Tamil character recognition in offline mode is challenging tasks as there are
virtually different people who have different styles of writing the same characters. Deep …

Recently handwritten digit recognition becomes vital scope and it is appealing many
researchers because of its using in variety of machine learning and computer vision …

Recently, deep learning and character recognition have drawn the attention of many
researchers. The deep neural networks have state-of-the-art performance in solving many …

Neural networks have made big strides in image classification. Convolutional neural
networks (CNN) work successfully to run neural networks on direct images. Handwritten …