Straightening Uniformly Folded Document Image

Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Learning Document Image Features With SqueezeNet Convolutional Neural Network

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...

Document Image Segmentation for Document Compression

Document Image Matching Techniques

Several techniques for document image matching developed at the Ricoh California Research Center are presented. These methods are given a document image as input and locate visually similar or identical copies of the same image in a large database.

Document Image Applications

The analysis of document images is a difficult and ill-defined task. Unlike the graphics operation of rendering a document into a pixmap, using a structured page-level description such as pdf, the analysis problem starts with the pixmap and attempts to generate a structured description. This description is hierarchical, and typically consists of two interleaved trees, one giving the physical la...