Design Of Multiple Classifier Systems Based On Sfls

A novel multiple classifiers fusion approach based on SFLS (Shortest Feature Line Segment) is proposed in this paper. SFLS is a kind of simple yet effective classification method depending on the shortest feature line. The original form of SFLS's output is just class label. To use SFLS as the member classifier in the multiple classifier system, the form of SFLS's output is modeled using the membership function. According to the experimental results, one can conclude that the proposed multiple classifier system can effectively improve classification accuracy.