The paper proposes a method for recognizing the content of scanned images of poor quality
using convolutional neural networks (CNNs). The method involves the implementation of …

Digitization of degraded document by Optical Character Recognition is an active research
area in the context of document analysis. This will help to edit document electronically, to …

В работе предложен метод распознавания содержимого отсканированных
изображений плохого качества с использованием свёрточных нейронных сетей (CNN) …

Motivation: The problem of handwritten text recognition is vastly studied since last few
decades. Many innovative ideas have been developed, where state-of-the-art accuracy is …

The accuracy on MINST dataset for roman numerals is already 99.65%. However, same
models showed low accuracy on Sindhi numerals. It is because Sindhi numerals have high …

Background: There are various languages for which an optical character recognition
technology has been developed but most of these address a particular language and …

In this paper, bit pattern based character recognition for Sindhi language has been
presented. The characters of sindhi language are very much complexed to recognize for …

Calligraphy is the most highly regarded and most fundamental element of Islamic art; and its
strong relation to Islamic history. Defining the style could help to determine the period or the …

The paper proposes a method for recognizing the content of scanned images of poor quality
using convolutional neural networks (CNNs). The method involves the implementation of …

В статье показана актуальность задачи преобразования в текстовой формат
элементов изображений, содержащих последовательности машинописных цифр. На …