A few works have been presented so far on information fusion for fingerprint verification. None, however, have explicitly investigated the use of multi-sensor fusion, in other words, the integration of the information provided by multiple devices to capture fingerprint images. In this paper, a multi-sensor fingerprint verification system based on the fusion of optical and capacitive sensors is ...

By analyzing multi-sensor information fusion system and hall for workshop of meta-synthetic engineering (HWME) essentially, a universal information fusion system of HWME based on multi-sensor is put forward. Analyzing the fault diagnosis framework of complex system based on information fusion technique, together with the research on the general process of information fusion synthesis fault diag...

In order to study non cooperative IFF to technology, this paper detailed illustrates the D-S theory in a multi-sensor data fusion principle and target recognition method, calculation method and practical model is established. By applying the theory of evidence (D-S method), we can solve the problem of data fusion in multi-sensor conditions. Aiming at the problem of multi-sensor target recogniti...

the purposes of human/machine perception, and for further Abstract: Image processing techniques primarily focus image-processing tasks such as segmentation, object upon enhancing the quality of an image or a set of detection or target recognition in applications such as images and to derive the maximum information from remote sensing and medical imaging. For example, visiblethem. Image Fusion i...

In multi-sensor data fusion (or sensor fusion), sensor biases (or offsets) often affect the accuracy of the correlation and integration results of the tracking targets. Therefore, to estimate and compensate the bias, several methods are proposed. However, most methods involve bias estimation and sensor fusion simultaneously by using Kalman filter after collecting the plot data together. Hence, ...

Multi-biometrics, or the fusion of more than one biometric modality, sample, sensor, or algorithm, is quickly gaining popularity as a method of improving biometric system performance and robustness. Despite the recent growth in multibiometrics research, little investigation has been done to explore the possibility of achieving multi-modal fusion from a single sensor. This approach to multi-biom...

The problem of factors influencing the sensors in a mine gas monitoring system cannot be solved by a single sensor itself. The multi-sensor information fusion technique was put forward to increase the system’s information utilance, precision, dependability and error tolerance. Based on the information source that the mine gas monitoring system has collected, the system’s structure mode was defi...

The paper analyzes two important issues in the design of multi-robot systems: (i) motion planning with the use of distributed algorithms, (ii) sensor fusion with the use of Extended Kalman or Particle Filtering. First, distributed gradient for motion planning of a multi-robot system is examined. The dynamic model of the multi-robot system is derived and its convergence to the desirable position...

This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve minimizing such redundancy and hence reducing the load in wireless sensor networks. Considering a c...