Fractals everywhere
Fractal image compression: theory and application
Fractal image compression: theory and application
The algorithmic beauty of plants
The algorithmic beauty of plants
Matrix computations (3rd ed.)
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fractal representations of planar shapes
DCGA '96 Proceedings of the 6th International Workshop on Discrete Geometry for Computer Imagery
Retrieving Faces by the PIFS Fractal Code
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Using the Inner-Distance for Classification of Articulated Shapes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
One Dimensional Fractal Coder for Online Signature Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Document and Image Compression (Signal Processing and Communications)
Document and Image Compression (Signal Processing and Communications)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Digital Image Processing in Java
Digital Image Processing in Java
Gait recognition using fractal scale
Pattern Analysis & Applications
Fractal dimension applied to plant identification
Information Sciences: an International Journal
Classification of face images using local iterated function systems
Machine Vision and Applications
2D Shape Matching by Contour Flexibility
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Proposition of Mobile Fractal Image Decompression
International Journal of Applied Mathematics and Computer Science
International Journal of Applied Mathematics and Computer Science
Toward real time fractal image compression using graphics hardware
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
IEEE Transactions on Image Processing
Recognition of two-dimensional shapes based on dependence vectors
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
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One of the approaches in pattern recognition is the use of fractal geometry. The property of self-similarity of fractals has been used as a feature in several pattern recognition methods. All fractal recognition methods use global analysis of the shape. In this paper we present some drawbacks of these methods and propose fractal local analysis using partitioned iterated function systems with division. Moreover, we introduce a new fractal recognition method based on a dependence graph obtained from the partitioned iterated function system. The proposed method uses local analysis of the shape, which improves the recognition rate. The effectiveness of our method is shown on two test databases. The first one was created by the authors and the second one is the MPEG7 CE-Shape-1 PartB database. The obtained results show that the proposed methodology has led to a significant improvement in the recognition rate.