Keywords : Fractal Dimension


Finding the Amount of the Occupation of a Specific Datum in a ‎Database File

Rayan Yousif Alkhayat

AL-Rafidain Journal of Computer Sciences and Mathematics, 2009, Volume 6, Issue 1, Pages 135-147
DOI: 10.33899/csmj.2009.163791

This research includes constructing a software system to find the amount of a specific datum occupation in a database file using fractal dimension ,  Box Counting method was used to calculate the fractal dimension with some treatments of it are performed to qualify it for practical application and fitness for the use with database files. Because of its high performance with databases,  Microsoft Visual FoxPro 9.0 was used to create the executable application. Students degrees database was used as a case study for the given research .
 

Arabic Character Recognition Using Fractal Dimension

Khalil I. Alsaif; Karam Hatim Thanoon

AL-Rafidain Journal of Computer Sciences and Mathematics, 2009, Volume 6, Issue 1, Pages 169-178
DOI: 10.33899/csmj.2009.163776

In this work the concepts of the pattern recognition was used to recognize printed Arabic characters, and the Fractal geometric dimension method was used.
The input for the system is image, with bitmap format , then the image of character is recognized, and after that it is feeding to the OCR system. A feature space containing the values of the fractal dimension for the letters of Arabic was constructed. These features were used in the recognition phase. In this phase a comparison was made between the values in the feature space and the values of the letter inputs to be recognized, the comparison was done by the minimum Euclidian distance. Results of this work are 75% succeeded. And Matlab 6.5 is used to write the functions and subroutines for this work.
 

Latin Character Recognition using Neural Networks

Jamal S. Majeed; Aseel Ali; Amar S. Majeed

AL-Rafidain Journal of Computer Sciences and Mathematics, 2007, Volume 4, Issue 2, Pages 143-155
DOI: 10.33899/csmj.2007.164022

The aim of this work is to recognize the printed Latin's characters. In this work two methods for constructing the feature space are used. These methods are Variance and Fractal dimension methods, as a result they have real values for every character in the Latin's language, and from these values they constructed the feature space extractions for every character in the Latin's language. After that, these features are given to the Back Propagation network for recognizing the characters.
The result is a highest recognition for the characters is obtained, it is about 82.75% characters while the unrecognized characters are 17.25.
 

Fractal Dimension Calculation for the General Shapes of ‎Geographical Maps and Closed Curves

Rayan Yousif Alkhayat; Basil Younis Thanoon

AL-Rafidain Journal of Computer Sciences and Mathematics, 2005, Volume 2, Issue 1, Pages 99-114
DOI: 10.33899/csmj.2005.164076

This research includes building a software to calculate the Fractal Dimension of the general shapes of the borders of geographical maps as well as closed curves. Two methods are adopted for calculating fractal dimension: the first is the well-known Box Counting method and the second is Two-dimension Variation method , some treatments of the two methods are performed in order to qualify them for practical application and fitness for the use in digital images which are used for the representation of borders of maps and closed curves. Matlab 6.5 programming language was used for the implementation of this work, the map of the republic of Iraq was used as a case study for the given work.