关键词: 物体识别, 证据理论, 极限学习机, 尺度不变特征变换, 颜色直方图

Abstract: In order to obtain better recognition results, a novel object recognition method based on multi-feature fusion of evidence theory is proposed. Color histogram and scale invariant feature transform features are extracted from object image, and extreme learning machine is used to establish the classifier; the recognition results of single feature are fused to obtain the last recognition results of object based on evidence theory; the performance of algorithm is tested by some image data. The result illustrates that the proposed algorithm has improved the recognition rate and speed, and it has some application vale.

Key words: object recognition, evidence theory, extreme learning machine, scale invariant feature transform, color histogram