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Finger vein verification is using vein patterns to verify a person's identity, which is widely used in various fields. In practice, the method for verification is the most important part of a biometric system, which determines the reliability of the system. In this paper, we propose methods called DeepVein for finger vein verification based on deep convolutional neural networks and conduct experiments...
Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Recognition algorithm is the key part of a finger vein recognition system, dominating the system performance. There are usually a lot of parameters in algorithms, and different values of the parameters could lead to different system performance so that it is essential to set...
Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Every user has 10 fingers in total, among which the index fingers and middle fingers from left and right hands are the most common used fingers in finger vein recognition systems, for their suitable length, width and flexibility. No evidence shows any significant relationship...
Biometric recognition requires that the biometric characteristics used for the verification should be unique among individuals. The purpose of this study is to verify the individuality of finger vein, a new trait with superiority on accuracy and security. To carry out the research, we construct a large-scale finger vein database consisting of 710,399 images from 363,703 fingers. We adopt a score level...
Finger vein recognition is a newly developed and promising biometrics technology. In current researches, finger vein recognition algorithms are mostly evaluated on data collected in laboratory environment. Along with its development, this technology gradually transforms from laboratory to actual use. Finger vein images captured in operational systems are different from those obtained in the lab, due...
Biometric menagerie is an important phenomenon in biometric systems, which focuses on distinguishing the minority of people who perform poorly and cause the majority of the errors (FAR and FRR). It can help to evaluate biometric systems and improve their performance by analyzing the animal like users. The fundamental step of this theory is the detection of animals. If the detection is not accurate,...
Finger vein recognition is a newly developed and promising biometrics technology. To facilitate evaluation in this area and study state-of-the-art performance of the finger vein recognition algorithms, we organized The ICB-2015 Competition on Finger Vein Recognition (ICFVR2015). This competition is held on a general recognition algorithm evaluation platform called RATE, with 3 data sets collected...
Using the synchronization of hyper-chaotic oscillators with only one variable coupled and the two-channel transmission method, a hybrid secure communication scheme with two channels based on the hyper-chaos synchronization is proposed in this paper. In this scheme, several hyper-chaotic variables at the transmitter are used to generate digital key and masking signal, information signals are first...
For the small-sized UAV, the paper puts forward a nonlinear control method based on dynamic inversion. In order to compensate the dynamic inversion error, the paper designs an adaptive dynamic inversion controller with neural networks, which have excellent performance in nonlinear functional approximation. The pseudo-control error caused by actuator character is feedback to reference model through...
Design of flight control system is a complex system project. In this paper, flight control system for UAV based on MATLAB/Simulink is introduced. The paper also set out core function of mission management in the whole system, formulate the guidance and control law. At the same time, it has an exploratory study of UAV dynamics model, monitor and sensor system, etc. The architecture design of flight...
To solve the posture measuring problems of aircraft model in the wind tunnel tests, a kind of method based on the monocular vision has been put forward in this paper, making use of a few geometric information of marking points and its corresponding image information according to the projective geometry, so that the relative object posture can be calculated. This method combines the advantages of analytic...
In wind tunnel tests, the pose of the aircraft model in wire-driven parallel suspension system (WDPSS) is determined by driving several wires. Pose measurement is very important for the study of WDPSS. Using machine vision technology, Monocular Vision Measurement System has been constructed to estimate the pose of the aircraft model by applying a camera calibration, by extracting corresponding control...
An Attitude Heading Reference System(AHRS) based on MEMS-IMU has been constructed to estimate the attitude of the airplane model in wire-driven parallel suspension system in the paper. A quaternion-based attitude estimation algorithm with Kalman Filter is presented, which calculates the Euler angles of the model by collecting the signals from the gyroscopes, accelerometers and magnetometers. The simulation...
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