To search, Click below search items. |
| All Published Papers Search Service |
|
|
|
Title |
New High Speed Normalized Neural Networks for Fast Pattern Discovery on Web Pages |
|
Author |
Hazem M. El-Bakry |
| Citation |
Vol. 6 No. 2 pp. 142~152 |
|
Abstract |
Neural networks have shown good results for detection of a certain pattern in a given image. In our previous paper, a fast algorithm for object/face detection was presented. Such algorithm was designed based on cross correlation in the frequency domain between the input image and the weights of neural networks. In this paper, a simple design for solving the problem of local subimage normalization in the frequency domain is presented. Furthermore, the effect of image normalization on the speed up ratio of pattern detection is presented. Simulation results show that local subimage normalization through weight normalization is faster than subimage normalization in the spatial domain. Moreover, the overall speed up ratio of the detection process is increased as the normalization of weights is done off line. |
|
Keywords |
Fast Neural Networks, Cross Correlation, Image Normalization in the Frequency Domain |
|
URL |
