EVALUATING SHAPE ROUGHNESS USING 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 ...

Locating the human eye using fractal dimensions

In this paper, a new method for locating eye pairs based on valley field detection and measurement of fractal dimensions is proposed. Fractal dimension is an efficient representation of the texture of facial features. Possible eye candidates in an image with a complex background are identified by valley field detection. The eye candidates are then grouped to form eye pairs if their local proper...