The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...

Increased advancement in a variety of study subjects and information technologies, has increased the number published research articles. However, researchers are facing difficulties devote significant time amount locating scientific publications relevant to their domain expertise. In this article, an approach document classification is presented cluster text documents articles into expressive g...

Electronic documents are becoming increasingly popular in various industries and sectors as they provide greater convenience cost-efficiency than physical documents. PDF is a widely used format for creating sharing electronic documents, while HTML commonly mobile environments the foundation web pages displayed on devices, such smartphones tablets. more critical document have been raised primary...

This paper presents, a hybrid method, low-resolution and high-resolution, for Persian page segmentation. In the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. By high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifyi...