[Attalla, E. and Siy, P. (2005). Robust shape similarity retrieval based on contour segmentation polygonal multiresolution and elastic matching, Pattern Recognition 38(12): 2229-2241.10.1016/j.patcog.2005.02.009]Search in Google Scholar
[Barni, M. (2006). Document and Image Compression, CRC Press, Boca Raton, FL.]Search in Google Scholar
[Barnsley, M. (1988). Fractals Everywhere, Academic Press, Boston, MA.]Search in Google Scholar
[Belongie, S., Malik, J. and Puzicha, J. (2002). Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence 24(4): 509-522.10.1109/34.993558]Search in Google Scholar
[Bruno, O. M., Plotze, R.d.O., Falvo, and Castro, M.d. (2008). Fractal dimension applied to plant identification, Information Science 178(12): 2722-2733.10.1016/j.ins.2008.01.023]Search in Google Scholar
[Burger, W. and Burge, M. J. (2008). Digital Image Processing: An Algorithmic Introduction Using Java, Springer, New York, NY.10.1007/978-1-84628-968-2]Search in Google Scholar
[Chandran, S. and Kar, S. (2002). Retrieving faces by the PIFS fractal code, 6th IEEE Workshop on Applications of Computer Vision, Orlando, FL, USA, pp. 8-12.]Search in Google Scholar
[Chang, Y. F., Lee, J. C., Mohd Rijal, O. and Syed Abu Bakar, S. A. R. (2010). Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model, International Journal of Applied Mathematics and Computer Science 20(4): 727-738, DOI: 10.2478/v10006-010-0055-x.10.2478/v10006-010-0055-x]Search in Google Scholar
[Dey, P. (2005). Basic principles and applications of fractal geometry in pathology—A review, Analytical & Quantitative Cytology & Histology 27(5): 284-290.]Search in Google Scholar
[Domaszewicz, J. and Vaishampayan, V. A. (1995). Graph-theoretical analysis of the fractal transform, 1995 International Conference on Acoustics, Speech, and Signal Processing, Detroit, MI, USA, Vol. 4, pp. 2559-2562.]Search in Google Scholar
[Erra, U. (2005). Toward real time fractal image compression using graphics hardware, in G. Bebis, R. Boyle, D. Koracin and B. Parvin (Eds.), Advances in Visual Computing, Lecture Notes in Computer Science, Vol. 3804, Springer, Heidelberg, pp. 723-728.10.1007/11595755_92]Search in Google Scholar
[Felzenszwalb, P. F. and Schwartz, J. (2007). Hierarchical matching of deformable shapes, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, Vol. 1, pp. 1-8.]Search in Google Scholar
[Fisher, Y. (1995). Fractal Image Compression: Theory and Application, Springer-Verlag, NewYork, NY.10.1007/978-1-4612-2472-3]Search in Google Scholar
[Gdawiec, K. (2009a). Fractal interpolation in modeling of 2D contours, International Journal of Pure and Applied Mathematics 50(3): 421-430.]Search in Google Scholar
[Gdawiec, K. (2009b). Local Fractal Analysis in Recognition of 2D Shapes, Ph.D. thesis, University of Silesia, Sosnowiec, (in Polish).10.1109/EURCON.2009.5167655]Search in Google Scholar
[Ghazel, M., Freeman, G. H. and Vrscay, E. R. (2003). Fractal image denoising, IEEE Transactions on Image Processing 12(12): 1560-1578.10.1109/TIP.2003.81803818244711]Search in Google Scholar
[Golub, G. H. and van Loan, C. F. (1996). Matrix Computations, 3rd Edn., The Johns Hopkins University Press, Baltimore, MD.]Search in Google Scholar
[Harris, J. M., Hirst, J. L. and Mossinghoff, M. J. (2008). Combinatorics and Graph Theory, 2nd Edn., Springer, New York, NY.]Search in Google Scholar
[Huang, K. and Yan, H. (2000). Signature verification using fractal transformation, 15th International Conference on Pattern Recognition, Barcelona, Spain, Vol. 2, pp. 855-858.]Search in Google Scholar
[Kolumbán, J., Soós, A. and Varga, I. (2003). Self-similar random fractal measures using contraction method in probabilistic metric spaces, International Journal of Mathematics and Mathematical Sciences 2003(52): 3299-3313.10.1155/S0161171203301048]Search in Google Scholar
[Kouzani, A. Z. (2008). Classification of face images using local iterated function systems, Machine Vision and Applications 19(4): 223-248.10.1007/s00138-007-0095-x]Search in Google Scholar
[Latecki, L. J., Lakamper, R. and Eckhardt, T. (2000). Shape descriptors for non-rigid shapes with a single closed contour, IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, SC, USA, Vol. 1, pp. 424-429.]Search in Google Scholar
[Ling, H. and Jacobs, D. W. (2005). Using the inner-distance for classification of articulated shapes, IEEE Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, Vol. 2, pp. 719-726.]Search in Google Scholar
[Linnell, T. A. and Deravi, F. (2004). Mapping vector accumulator: fractal domain feature for character recognition, Electronic Letters 40(22): 1406-1407.10.1049/el:20046478]Search in Google Scholar
[Mandelbrot, B. (1983). The Fractal Geometry of Nature, W. H. Freeman and Company, New York, NY.10.1119/1.13295]Search in Google Scholar
[Meng, D., Cai, X., Su, Z. and Li, J. (2009). Photorealistic terrain generation method based on fractal geometry theory and procedural texture, 2nd IEEE International Conference on Computer Science and Information Technology, Beijing, China, pp. 341-344.]Search in Google Scholar
[Mokhtarian, F. and Bober, M. (2003). Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization, Springer, Heidelberg.10.1007/978-94-017-0343-7]Search in Google Scholar
[Mozaffari, S., Faez, K. and Faradji, F. (2006). One dimensional fractal coder for online signature recognition, 18th International Conference on Pattern Recognition, Hong Kong, China, Vol. 2, pp. 857-860.]Search in Google Scholar
[Neil, G. and Curtis, K. M. (1997). Shape recognition using fractal geometry, Pattern Recognition 30(12): 1957-1969.10.1016/S0031-3203(96)00193-8]Search in Google Scholar
[Nikiel, S. (2007). A proposition of mobile fractal image decompression, International Journal of Applied Mathematics and Computer Science 17(1): 129-136, DOI: 10.2478/v10006-007-0012-5.10.2478/v10006-007-0012-5]Search in Google Scholar
[Peters, E. E. (1994). Fractal Market Analysis: Applying Chaos Theory to Investment and Economics, John Wiley & Sons Inc., New York, NY.]Search in Google Scholar
[Plotze, R.d.O., Falvo, M., Páuda, J. G., Bernacci, L. C., Vieira, M. L. C., Oliveira, G. C. X. and Bruno, O. M. (2005). Leaf shape analysis using the multiscale Minkowski fractal dimension, a new morphometric method: A study with passiflora (passifloraceae), Canadian Journal of Botany 83(3): 287-301.10.1139/b05-002]Search in Google Scholar
[Prusinkiewicz, P. and Lindenmayer, A. (1996). The Algorithmic Beauty of Plants, Springer-Verlag, New York, NY.]Search in Google Scholar
[Skarbek, W. and Ignasiak, K. (1996). Asynchronous nonlinear fractal operators and their applications, Image Processing & Communications 2(2): 3-20.]Search in Google Scholar
[Skarbek, W., Ignasiak, K. and Ghuwar, M. (1996). Fractal representation of planar shapes, in S. Miguet, A. Montanvert and S. Ubéda (Eds.), Discrete Geometry for Computer Imagery, Lecture Notes in Computer Science, Vol. 1176, Springer, Heidelberg, pp. 73-84.10.1007/3-540-62005-2_7]Search in Google Scholar
[Tu, Z. and Yuille, A. L. (2004). Shape matching and recognition using generative models and informative features, 8th European Conference on Computer Vision, Prague, Czech Republic, pp. 195-209.]Search in Google Scholar
[Witten, I. H. and Frank, E. (2005). Data Mining—Practical Machine Learning Tools and Techniques, 2nd Edn., Morgan Kaufmann Publishers, San Francisco, CA.]Search in Google Scholar
[Xu, C., Liu, J. and Tang, X. (2009). 2D shape matching by contour flexibility, IEEE Transactions on Pattern Analysis and Machine Intelligence 31(1): 180-186.10.1109/TPAMI.2008.19919029556]Search in Google Scholar
[Yokoyama, T., Sugawara, K. and Watanabe, T. (2004). Similarity-based image retrieval system using partitioned iterated function system codes, Artifical Life and Robotics 8(2): 118-122.10.1007/s10015-004-0297-5]Search in Google Scholar
[Zhao, G., Cui, L. and Li, H. (2007). Gait recognition using fractal scale, Pattern Analysis & Applications 10(3): 235-246.10.1007/s10044-007-0064-z]Search in Google Scholar