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This paper present a solution for detecting hidden objects based on UWB pulse radar. In this paper, we introduce an overview of UWB systems, the theory related and used in the process to implement the project. We present the steps to collect and process data through object identification algorithm, improve algorithm for detecting hidden objects in some kind of environments. We evaluate the obtained results, conclude for applying orientation and development of the subject.

Face recognition, that has a lot of applications in modern life, is still an attractive research for pattern recognition community. Due to the similarity of human face, face recognition presents a significant chalenge for pattern recognition researchers. Modified Hausdorff distance (MHD) is a low computational cost while giving high accuracy for face recognition. In this paper, a modification of MHD (MMHD) is proposed. By applying the ratio of high confident into the calculation of the distance between images, the MMHD gives higher accuracy in face recognition in comparing with MHD method. The MMHD method also gives higher performance than MHD method in face recognition in various non-ideal conditions of image: 1) varying lighting conditions, 2) varying face expressions and 3) varying of poses.