Pattern segmentation method based on super-pixel multi-feature fusion

Finger-Vein Recognition Based on Fusion of Pixel Level Feature and Super-Pixel Level Feature

Finger-vein is a promising biometric technique for the identity authentication. However, the finger displacement or the illumination variation in image capturing may cause bad recognition performance. To overcome these limitations, multi-biometric system, an effective method to improve the performance, is proposed. In this paper, a new multimodal biometric system based on pixel level feature an...

Super-Fusion: A Super-Resolution Method Based on Fusion

Reconstruction-based super-resolution algorithms require very accurate alignment and good choice of filters to be effective. Often these requirements are hard to satisfy, for example, when we adopt optical flow as the motion model. In addition, the condition of having enough sub-samples may vary from pixel to pixel. In this paper, we propose an alternative super-resolution method based on image...

Skin segmentation based on multi pixel color clustering models

The Segmentation Fusion Method On10 Multi-Sensors

The most significant problem may be undesirable effects for the spectral signatures of fused images as well as the benefits of using fused images mostly compared to their source images were acquired at the same time by one sensor. They may or may not be suitable for the fusion of other images. It becomes therefore increasingly important to investigate techniques that allow multi-sensor, multi-d...

Pixel Coverage Segmentation for Improved Feature Estimation