One Dimensional Fractal Coder for Online Signature Recognition

Fractal theory has been used for computer graphics, image compression and different fields of pattern recognition. In this paper we simplified a general purpose two-dimensional fractal coder used for image compression. Since in the case of on-line signature recognition, we loose gray levels, contrast and luminosity information, we do not employ these parameters in the fractal coder. Instead, we focused on geometrical relationship between the range block and its best domain block. Then, some features were extracted directly by the proposed one dimensional fractal coder. We show their usefulness in the application of Persian on-line signature recognition

[1]  Arnaud E. Jacquin,et al.  Image coding based on a fractal theory of iterated contractive image transformations , 1992, IEEE Trans. Image Process..

[2]  Ren C. Luo,et al.  Fractal-based classification of natural textures , 1998, IEEE Trans. Ind. Electron..

[3]  Kosin Chamnongthai,et al.  Face recognition by using fractal encoding and backpropagation neural network , 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

[4]  Hong Yan,et al.  Signature verification using fractal transformation , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[5]  Saeed Mozaffari,et al.  Feature comparison between fractal codes and wavelet transform in handwritten alphanumeric recognition using SVM classifier , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[6]  K. Faez,et al.  Recognition of isolated handwritten Farsi/Arabic alphanumeric using fractal codes , 2004, 6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004..

[7]  Sridha Sridharan,et al.  Face recognition using fractal codes , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[8]  Y. Fisher Fractal image compression: theory and application , 1995 .

[9]  Character representation and recognition using quad tree-based fractal encoding scheme , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[10]  Hong Yan,et al.  Face recognition by fractal transformations , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[11]  Saeed Mozaffari,et al.  Performance Evaluation of Fractal Feature in Recognition of Postal Codes Using an RBF Neural Network and SVM Classifier , 2005, MVA.

[12]  Farzin Deravi,et al.  Novel fractal domain features for image classification , 2003 .