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Manually Distorted Pictures

In this test the recognition performance was measured on manually distorted pictures. The pictures in the test set were alter by using a graphic editor. Some of the changed pictures are shown in Figure 7.7.

 figure1123
Figure 7.7:  Examples of Manually Distorted Pictures.

The recognition performance of the modular neural network was about 87.8%, the monolithic network could recognize 78.1%. Furthermore the discrimination difference of the modular network was much higher than for the single network. By increasing the demanded confidence (difference between winner and runner-up) the performance difference became even larger.


next up previous contents
Next: Noisy Pictures Up: Gray Scale Picture Recognition Previous: Gray Scale Picture Recognition

Albrecht Schmidt
Mit Okt 4 16:45:34 CEST 2000