The quest of providing more secure identification system has lead to rise in developing biometric systems. Biometrics such as face, fingerprint and iris have been developed extensively for human identification purpose and also to provide authentic input to many security systems in the past few decades. Dorsal hand vein pattern is an emerging biometric which is unique to every individual. In thi...

A two-dimensional (2-D) least squares (LS)-based filtering scheme for high fidelity stereo image compression applications is introduced in this correspondence. This method removes the effects of mismatching in a stereo image pair by applying the left image as the reference input to a 2-D transversal filter while the right image is used as the desired output. The weights of the filter are comput...

We introduce an evolutionary extreme learning machine (E-ELM) and incremental bilateral two-dimensional principal component analysis (IB2DPCA) for gender classification, a novel algorithm for face feature extraction, which directly extracts the proper features from image matrices. There are both ways of contributions in this paper. First, we proposed the IB2DPCA-EELM, the IB2DPCA being our new ...

1 Electronics Department, Faculty of Electrical Engineering and Information Technology, University of Oradea, Universitatii ,1, 410087, Oradea, Romania, e-mail: [email protected] Electronics and Communications Faculty, „Politehnica” University of Timisoara, Bd. V. Pârvan Nr. 2, 300223 Timişoara, e-mail: [email protected] 3 Dept. of Informatics, Aristotle University of Thessaloniki, GR –...

14 ERS-1 SAR images were classified using three different classification algorithms. Median filtering and principal component analysis were used in speckle reduction and feature extraction. Feature selection was performed using branch-and-bound algorithm. The best classification accuracy (55-60%) was achieved when principal component images computed from median filtered SAR images were used. In...

Land-use classification was performed by using a set of ERS-1, JERSand Radarsat images. Classes were water, forests (with subclasses according to stem volume), agricultural field, mire and urban area. Median filtering was used for speckle reduction and principal component analysis for feature extraction. Spectral classification was performed by using self-organizing feature map and learning vec...

Aiming at the lane change behavior recognition requirements for vehicle active safety system, natural driving test in real road were carried out and different parameters related to lane change behavior were collected synchronously. Firstly, parameters were processed with Kalman filter to increasing the potential relevance among sample data. Then, SVM model was established for lane change recogn...

BACKGROUND There are few population-based data regarding the effectiveness of inferior vena cava filter use in the prevention of symptomatic pulmonary embolism. OBJECTIVE To determine the 1-year cumulative incidence of rehospitalization for venous thrombosis or pulmonary embolism among patients with thromboembolism treated with a vena cava filter compared with the incidence in a control popul...

We demonstrate the use of a low-cost liquid-crystal-based wavelength-tunable filter and CMOS video camera to add hyperspectral imaging capabilities probe station equipped with simple optical microscope. The resultant setup is used rapidly resolve spectral spatial variations in electroluminescence typically observed for InxGa1−xN/GaN light-emitting diodes. Applying standard statistical analyses ...