Using NMR to Measure Fractal Dimensions

FONT DISCRIMINATIO USING FRACTAL DIMENSIONS

One of the related problems of OCR systems is discrimination of fonts in machine printed document images. This task improves performance of general OCR systems. Proposed methods in this paper are based on various fractal dimensions for font discrimination. First, some predefined fractal dimensions were combined with directional methods to enhance font differentiation. Then, a novel fractal dime...

Fractal dimensions

Measuring Watermarking Robustness Using Fractal Dimensions

The authors present a new approach for measuring watermarking robustness in the case of color attacks of rgb-color watermarked images. This approach is applied to evaluate the robustness of our algorithm to watermark an rgb-color image by modifying pixels colors. It is based on Kolmogorov-Smirnov test and it uses fractal dimensions to quantify modified color pixels. The authors test smooth and ...

Visualizing Flow Fields Using Fractal Dimensions

Streamlines are a popular way of visualizing flow in vector fields. A major challenge in flow field visualization is selecting the streamlines to view. Rendering too many streamlines clutters the visualization and makes features of the field difficult to identify. Rendering too few streamlines causes viewers to completely miss features of the flow field not rendered. The fractal dimension of a ...

Coarse iris classification using box-counting to estimate fractal dimensions

This paper proposes a novel algorithm for the automatic coarse classification of iris images using a box-counting method to estimate the fractal dimensions of the iris. First, the iris image is segmented into sixteen blocks, eight belonging to an upper group and eight to a lower group. We then calculate the fractal dimension value of these image blocks and take the mean value of the fractal dim...