Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image processing algorithms that operate on-the-fly on unseen documents. This work proposes the use of surrogate models to learn the behavior of a given doc...

This paper is to introduce a camera document recognition using hierarchical classifier. Generally, it is very difficult to recognize camera document image because of inconsistent input condition and camera problem itself. Therefore, Implementation of hierarchical classifier is needed to guarantee recognition performance of camera document image. The camera document goes through four processes s...

In this paper we discuss some applications of word image clustering (based on Self Organizing Maps, SOM) for tasks related to document image retrieval. Two main applications are discussed: document retrieval and word retrieval. In document retrieval a document representation based on the vector model is obtained by computing the occurrences of words belonging to the SOM clusters in each documen...

The economic feasibility of creating a large database of document image has left a tremendous need for robust ways to access the information. Printed documents are scanned for archiving or in an attempt to move towards a paperless office and are stored as images. In this paper, we provide a survey of methods developed by researchers to access document images. The survey includes papers covering...