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2013 | OriginalPaper | Chapter

6. Introducing the Concept of Information Pixels and the Storing Information Pixels Addresses Method as an Efficient Model for Document Storage

Author : Mohammad A. ALGhalayini

Published in: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering

Publisher: Springer New York

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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 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 storage techniques for this type of information storage (IS) systems [1–7]. In this paper, we present an efficient storage technique for electronic documents. The proposed technique uses the Information Pixels concept to make the technique more efficient for certain image formats. In addition, we shall see how Storing Information Pixels Addresses (SIPA) method is an efficient method for document storage and as a result makes the document image storage relatively efficient for most image formats [8–12].

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Footnotes
1
Mohammad A. ALGhalayini and Abad Shah, “Introducing The (POSSDI) Process The Process of Optimizing the Selection of The Scanned Document Images”; CISSE 2006, The Second International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 06).
 
2
More about King Saud University available at: http://​www.​ksu.​edu.​sa.
 
3
Mohammad A. ALGhalayini and ELQasem ALNemah, “An Efficient Storage and Retrieval Technique for Documents Using Symantec Document Segmentation (SDS) Approach”; CISSE 2007, The Third International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 07).
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4
Even though time of execution time is shown in the table, we do not focus much on it since time may be affected by other factors like processor speed, RAM size, network reliability, Graphics memory size, etc.
 
5
Even though time of execution is calculated and shown in paper tables, we do not focus much on it since time is affected by other factors like processor speed, RAM size, network reliability, etc.
.
 
Literature
1.
go back to reference ALGhalayini M, Shah A (2006) Introducing the (POSSDI) process: the process of optimizing the selection of the scanned document images. In: International joint conferences on computer, information, systems sciences, and engineering (CISSE 06) Dec 4–14, 2006 ALGhalayini M, Shah A (2006) Introducing the (POSSDI) process: the process of optimizing the selection of the scanned document images. In: International joint conferences on computer, information, systems sciences, and engineering (CISSE 06) Dec 4–14, 2006
2.
go back to reference ALGhalayini MA, ALNemah E (2007) An efficient storage and retrieval technique for documents using symantec document segmentation (SDS) Approach. In: The third international joint conferences on computer, information, and systems sciences, and engineering (CISSE 07) ALGhalayini MA, ALNemah E (2007) An efficient storage and retrieval technique for documents using symantec document segmentation (SDS) Approach. In: The third international joint conferences on computer, information, and systems sciences, and engineering (CISSE 07)
7.
go back to reference Horiuchi T (2006) Grayscale image segmentation using color space. IEICE Trans Inf Syst E89-D(3):1231–1237 Horiuchi T (2006) Grayscale image segmentation using color space. IEICE Trans Inf Syst E89-D(3):1231–1237
10.
go back to reference Ozden M, Polat E (2007) A color image segmentation approach for content-based image retrieval. Pattern Recognit 40(4):1318–1325MATHCrossRef Ozden M, Polat E (2007) A color image segmentation approach for content-based image retrieval. Pattern Recognit 40(4):1318–1325MATHCrossRef
Metadata
Title
Introducing the Concept of Information Pixels and the Storing Information Pixels Addresses Method as an Efficient Model for Document Storage
Author
Mohammad A. ALGhalayini
Copyright Year
2013
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-3535-8_6