RECOGNITION OF IRREGULARLY SHAPED WORDS BY USING FRACTAL DIMENSION

Estimating fractal dimension of natural terrain from irregularly spaced data

Diagnosis of B-CLL Leukemia Using Fractal Dimension

Background:Leukemia is cancer of blood and bone marrow cells. In general, there are four types of leukemia: chronic myelogenous leukemia (CML), acute myeloid leukemia (AML), B-cell chronic lymphocytic leukemia (CLL) and acute lymphoblastic leukemia (ALL).  Fractal geometry can be introduced as one of the effective ways to detect this type of cancer. In this study, with introduc...

Iris Recognition Using Gabor Filters and the Fractal Dimension

Iris recognition is an emerging noninvasive biometric technology. The iris is very suitable for the verification and the identification of humans due to its distinctive and stable spatial patterns. In this paper, we propose an effective iris recognition algorithm which adopts a bank of Gabor filters combined with the estimated fractal dimension. After the preprocessing procedure, the normalized...

Classification of irregularly shaped micro-objects using complex Fourier descriptors

A new method for characterizing complex irregular shapes of natural objects (e.g. plant cells, aerosol particles) is presented. The method employs complex Fourier analysis rather than the traditional forms of the Fourier analysis. Digitized images of objects are processed and the contours are tracked by a classical boundary following technique. A new contour preprocessing technique allows to no...

Unsupervised Clustering Using Fractal Dimension

Clustering can be defined as the process of “grouping” a collection of objects into subsets or clusters. The clustering problem has been addressed in numerous contexts and by researchers in different disciplines. This reflects its broad appeal and usefulness as an exploratory data analysis approach. Unsupervised clustering algorithms have been developed to address real world problems in which t...