Title :
Research on the Algorithm of Object Recognition Based on the Feature Fusion and D-S Evidence Theory
Author :
Pan Xiuqin ; Lu Yong
Author_Institution :
Dept. of Math. & Comput. Sci., Central Univ. for Nat., Beijing
Abstract :
In this paper, a kind of recognition algorithm based on feature fusion combined with D-S evidence theory would be provided. In the given algorithm, the feature set and fusion algorithm would be decided separately through analyzing the character of different features and defining a new type of feature as well as designing probability evaluation function. The simulating results illustrate that the algorithm is effective and efficient
Keywords :
feature extraction; object recognition; D-S evidence theory; feature fusion; object recognition; probability evaluation function; Algorithm design and analysis; Cepstral analysis; Cepstrum; Character recognition; Feature extraction; Fractals; Mathematics; Object recognition; Signal processing algorithms; Sonar applications;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.346049
