Introducing the Concept of Back-Inking as an Efficient Model for Document Retrieval (Image Reconstruction)

Abstract

Today, many institutions and organizations are facing serious problem due to the tremendously increasing size of documents, and this problem is further triggering the storage and retrieval problems due to the continuously growing space and efficiency requirements. This problem is becoming more complex with time and the increase in the size and number of documents in an organization. Therefore, there is a growing demand to address this problem. This demand and challenge can be met by developing a technique to enable specialized document imaging people to use when there is a need for storing and retrieving documents images. Various techniques were developed and reported in the literature by different investigators. These techniques attempt to solve this problem to some extent but, most of the existing techniques still face the efficiency problem, in the case, the number and size of documents increase rapidly. The efficiency is further affected in the existing techniques when documents in a system are reorganized and then stored again. To handle these problems, we need special and efficient retrieval techniques for this type of information retrieval (IR) systems. In this paper, we present an efficient retrieval technique for electronic documents. The proposed technique uses the Back-Inking concept to make the technique more efficient for certain image formats. The use of this approach is a continuation of the SIPA approach which was presented in an earlier paper as an efficient method for document storage of the documents and as a result makes the image retrieval relatively efficient.

The method of applying SIPA (Storing Information Pixels Addresses) is introduced in: Mohammad A. ALGhalayini “Introducing The Concept Of Information Pixels and the SIPA (Storing Information Pixels Addresses) Method As an Efficient Model for Document Storage”; CISSE 2011, The Seventh International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 11).