DocumentCode
1948103
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
Volume
4
fYear
2006
fDate
16-20 2006
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.346049
Filename
4129741
Link To Document