Increasing Object Recognition Rate using Reinforced Segmentation

Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama · 2006

In this paper a new approach to object extraction and recognition based on reinforcement learning is presented. We use this novel idea as a method to optimally segment the image and increase the recognition rate. The success rate is compared with a classical approach. Preliminary results demonstrate increase in recognition rate.

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