| H. Szu, B. Telfer, J. Garcia, Wavelet transforms and neural networks for compression and recognition, Neural Networks 9 (4) (1996) 695}798. |
....Gabor wavelet is a sinusoidal plane wave with particular frequency and orientation, modulated by a Gaussian envelope. It is suitable for extracting orientation dependent frequency contents of patterns. For Gabor wavelet s good mathematic properties, it has been widely applied for data compression [20], face recognition [21] texture analysis [15] and other aspects of image processing in recent years. In OCR field, Gabor was first used for handwriting Chinese character recognitionbyDengetal[3] butmostoftheseworks are based on the binary character image [5, 6] Yoshimura and his colleagues ever ....
H. Szu, B. Telfer, and J. Garcia, "Wavelet transforms and neural networks for compression and recognition", Neural Networks, Vol.9, No. 4, pp. 695-708, 1996
....the well known procedures using correlation functions or tracking algorithms to determine the movement of single or compounded objects are used. In most cases some kind of pre processing has to be performed. Some examples of existing implementations using neural networks are given in [5] 7] [14], 15] However, these results can be improved once more by using a combination of several parts of Soft Computing. 2 Quasi Four Dimensional Neuroncube (QFDN) The Quasi Four Dimensional Neuroncube (QFDN) is an extension of the Self Organizing Maps (SOM) 8] It compounds an artificial neural ....
H. Szu, B. Telfer, and J. Garcia, "Wavelet transforms and neural networks for compression and recognition," in Neural Networks, no. 4, pp. 695-708, 1996.
No context found.
H. Szu, B. Telfer, J. Garcia, Wavelet transforms and neural networks for compression and recognition, Neural Networks 9 (4) (1996) 695}798.
No context found.
H. Szu, B. Telfer, and J. Garcia. Wavelet transforms and neural networks for compression and recognition. Neural Networks, 9:695-708, 1996.
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