Character recognition is an important research field of interest for many applications. In
recent years, deep learning has made breakthroughs in image classification, especially for …

The traditional algorithms for recognizing handwritten alphanumeric characters are
dependent on hand-designed features. In recent days, deep learning techniques have …

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

Sažetak Deep convolutional neural networks (CNN) have made a huge impact on computer
vision and set the state-of-the-art in providing extremely definite classification results. For …

Handwritten character recognition is a challenging problem which received attention
because of its potential benefits in real-life applications. It automates manual paper work …

The automatic detection and recognition of characters in images are an important problem in
various applications. The traditional shallow networks in machine learning have limitations …

Handwritten character recognition is a system widely used in the modern world and it is still
an important challenge. Traditional machine-learning techniques require careful …

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 …

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

Handwritten characters are still far from being replaced with the digital form. The occurrence
of handwritten text is abundant. With a wide scope, the problem of handwritten letter …