In this paper we propose a new knowledge model using the Dempster-Shafer’s evidence theory for image segmentation and fusion. The proposed method is composed essentially of two steps. First, mass distributions in Dempster-Shafer theory are obtained from the membership degrees of each pixel covering the three image components (R, G and B). Each membership’s degree is determined by applying Fuzzy...

Multimodal biometric technology relatively is a technology developed to overcome those limitations imposed by unimodal biometric systems. The paradigm consolidates evidence from multiple biometric sources offering considerable improvements in reliability with reasonably overall performance in many applications. Meanwhile, the issue of efficient and effective information fusion of these evidence...

Dempster–Shafer (D-S) evidence theory plays an important role in multisource data fusion. Due to the nature of Dempster combination rule, there can be counterintuitive results when fusing highly conflicting data. To date, conflict management D-S is still open issue. Inspired by modification considering internal indeterminacy and external support, a novel method for fusion proposed based on impr...

The essential goal of R. A. Fisher's fiducial argument was to make posterior inferences about unknown parameters without resorting to a prior distribution. Over the past decade, there have been two major attempts at developing a .statistical theory that would accomplish this convincingly. One of these efforts has been described in a series of publications by Fraser, the other ir. papers by Demp...