scholarly journals Wrist Vascular Biometric Recognition Using a Portable Contactless System

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1469 ◽  
Author(s):  
Raul Garcia-Martin ◽  
Raul Sanchez-Reillo
Keyword(s):  
Near Infrared ◽  
Computing Time ◽  
Recognition Task ◽  
Biometric Recognition ◽  
Real Time Processing ◽  
Environmental Light ◽  
Best Value ◽  
Contactless System ◽  
Definition Of ◽  
Palm Vein

Human wrist vein biometric recognition is one of the least used vascular biometric modalities. Nevertheless, it has similar usability and is as safe as the two most common vascular variants in the commercial and research worlds: hand palm vein and finger vein modalities. Besides, the wrist vein variant, with wider veins, provides a clearer and better visualization and definition of the unique vein patterns. In this paper, a novel vein wrist non-contact system has been designed, implemented, and tested. For this purpose, a new contactless database has been collected with the software algorithm TGS-CVBR®. The database, called UC3M-CV1, consists of 1200 near-infrared contactless images of 100 different users, collected in two separate sessions, from the wrists of 50 subjects (25 females and 25 males). Environmental light conditions for the different subjects and sessions have been not controlled: different daytimes and different places (outdoor/indoor). The software algorithm created for the recognition task is PIS-CVBR®. The results obtained by combining these three elements, TGS-CVBR®, PIS-CVBR®, and UC3M-CV1 dataset, are compared using two other different wrist contact databases, PUT and UC3M (best value of Equal Error Rate (EER) = 0.08%), taken into account and measured the computing time, demonstrating the viability of obtaining a contactless real-time-processing wrist system.

scholarly journals Theoretical Simulation of Near-Infrared Spectrum of Piperine: Insight into Band Origins and the Features of Regression Models

2021 ◽  
pp. 000370282110279
Author(s):  
Justyna Grabska ◽  
Krzysztof B. Beć ◽  
Sophia Mayr ◽  
Christian W. Huck
Keyword(s):  
Infrared Spectrum ◽  
Regression Models ◽  
Near Infrared ◽  
Computing Time ◽  
Black Pepper ◽  
Partial Least Square ◽  
Least Square ◽  
Complex Nature ◽  
Chemical Information ◽  
Near Infrared Spectrum

We investigated the near-infrared spectrum of piperine using quantum mechanical calculations. We evaluated two efficient approaches, DVPT2//PM6 and DVPT2//ONIOM [PM6:B3LYP/6-311++G(2df, 2pd)] that yielded a simulated spectrum with varying accuracy versus computing time factor. We performed vibrational assignments and unveiled complex nature of the near-infrared spectrum of piperine, resulting from a high level of band convolution. The most meaningful contribution to the near-infrared absorption of piperine results from binary combination bands. With the available detailed near-infrared assignment of piperine, we interpreted the properties of partial least square regression models constructed in our earlier study to describe the piperine content in black pepper samples. Two models were compared with spectral data sets obtained with a benchtop and a miniaturized spectrometer. The two spectrometers implement distinct technology which leads to a profound instrumental difference and discrepancy in the predictive performance when analyzing piperine content. We concluded that the sensitivity of the two instruments to certain types of piperine vibrations is different and that the benchtop spectrometer unveiled higher selectivity. Such difference in obtaining chemical information from a sample can be one of the reasons why the benchtop spectrometer performs better in analyzing the piperine content of black pepper. This evidenced direct correspondence between the features critical for applied near-infrared spectroscopic routine and the underlying vibrational properties of the analyzed constituent in a complex sample.

scholarly journals Prediction Model of the Key Components for Lodging Resistance in Rapeseed Stalk Using Near-Infrared Reflectance Spectroscopy (NIRS)

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Jie Kuai ◽  
Shengyong Xu ◽  
Cheng Guo ◽  
Kun Lu ◽  
Yaoze Feng ◽  
...  
Keyword(s):  
Prediction Model ◽  
Spectral Data ◽  
Near Infrared ◽  
Soluble Sugar ◽  
Computing Time ◽  
Colorimetric Method ◽  
Mature Stage ◽  
Near Infrared Reflectance ◽  
Lodging Resistance ◽  
Physiological Basis

The chemical composition of rape stalk is the physiological basis for its lodging resistance. By taking the advantage of NIRS, we developed a rapid method to determine the content of six key composition without crushing the stalk. Rapeseed stalks in the mature stage of growth were collected from three cultivation modes over the course of 2 years. First, we used the near-infrared spectroscope to scan seven positions on the stalk samples and took their average to form the spectral data. The stalks were then crushed and sieved; then the ratio of carbon and nitrogen, ratio of acid-insoluble lignin and lignin, and the content of soluble sugar and cellulose were determined using the combustion method, weighing method, and colorimetric method, respectively. The partial least squares regression (PLSR) method was used to establish a prediction model between the spectral data and the chemical measurements, and all models were evaluated by an internal interaction verification and an external independent test set sample. To improve the accuracy of the model and reduce the computing time, some optimization methods have been applied. Some outliers were removed, and then the data were preprocessed to determine the best spectral information band and the optimal principal component number. The results showed that elimination of outliers effectively improved the precision of the prediction model and that no spectral pretreatment method exhibited the highest prediction accuracy. In summary, the NIRS-based prediction model could facilitate the rapid nondestructive detection in the key components of rapeseed stalk.

A hybrid fusion model of iris, palm vein and finger vein for multi-biometric recognition system

2020 ◽  
Vol 79 (39-40) ◽  
pp. 29021-29042
Author(s):  
Chenyi Zhou ◽  
Jing Huang ◽  
Feng Yang ◽  
Yaqin Liu
Keyword(s):  
Recognition System ◽  
Fusion Model ◽  
Biometric Recognition ◽  
Finger Vein ◽  
Palm Vein ◽  
Hybrid Fusion

scholarly journals ДОСЛІДЖЕННЯ ВПЛИВУ ГНУЧКОСТІ ПЕРА НА ОПТИМАЛЬНІ УМОВИ СПРЯЖЕННЯ ПОЛИЦЬ ПОПАРНО БАНДАЖОВАНИХ ЛОПАТОК ТУРБІН

2020 ◽  
pp. 41-49
Author(s):  
Анатолій Павлович Зіньковський ◽  
Вячеслав Михайлович Меркулов ◽  
Іван Гордійович Токар ◽  
Олег Леонідович Деркач ◽  
Руслан Юрійович Шакало
Keyword(s):  
Initial Conditions ◽  
Design Feature ◽  
Interference Fit ◽  
Turbine Engine ◽  
Best Value ◽  
Vibration Stress ◽  
Set Up ◽  
Definition Of ◽  
Experimental Researches

In the article outcomes of probes by definition of influencing the flexibility of pen on optimum requirements of linking of shelves pairwise shrouded blades of turbines are considered. A design feature of such blades is that a composite shank, each half of which has a pen with a bezigless shroud platform, is freely inserted into the groove of disk. The application examples pairwise shrouded blades in turbines of a gas turbine engine (GTD), and also outcomes of the analysis of initial conditions of linking on shroud platforms of such blades are set up. It is shown that under the conditions of operation of the engine, there can be both an interference fit and a clearance on the shroud platform. A description is given of the developed methods for the experimental determination of the initial conditions for pairing the retaining shelves of pairwise shrouded blades and the study of their damping ability and vibration stress. Outcomes of the analysis of requirements of linking of bandage shelves of blading of impellors, experimental researches by definition of their influencing on vibrational stresses and a damping current capacity pairwise shrouded blades and their beam models as systems with a rigorous regular which one is characterized by the elastic-dissipative connection caused both bandages, and tool joints, taking into account flexibility of pen are introduced. It is displayed, that there is the best value of the argument of linking of bandage shelves at which one the maximum damping current capacity of twin blades and according to their minimum of vibrational stresses is reached. Thus, its meaning depends on the flexibility of the pen of a blade. By results of the conducted experimental researches of packages of pairwise shrouded blades of three turbine stages GTD AI-25 and turbine GTD D-36 first stage the relation of the best value of argument Δн, wholesale of linking of bandage shelves from the flexibility of pen which one allows to forecast its value for blades of other stages GTD is constructed. As blades of first stages of turbines GTD AI-322 and D-36 are characterized by flexibility neighbors it is possible to forecast with a high probability, that best values of the argument of linking of their shroud platforms will be one level.

scholarly journals Palm Vein Technology for Biometrics

2019 ◽  
Vol 8 (9S) ◽  
pp. 598-602
Keyword(s):  
Near Infrared ◽  
Biometric Security ◽  
Shoulder Surfing ◽  
Increased Risk ◽  
Chinese Academy Of Sciences ◽  
Vein Recognition ◽  
Palm Vein ◽  
Matching Score ◽  
Academy Of Sciences ◽  
Dictionary Attacks

The use and implementation of biometrics for identification and authentication has become more important in the past decade. This is because there has been an increased risk associated with textual passwords such as dictionary attacks, eavesdropping, shoulder surfing etc. We have worked on Palm vein recognition for detecting palm veins in applications for biometric security using near infrared absorption phenomena. The goal is to produce a software prototype that is capable of identifying a person by the vein structures of the hand. The images used for the same were taken from the CASIA-MS-PalmprintV1 database collected by the Chinese Academy of Sciences' Institute of Automation (CASIA). After pre-processing, LDR and DCT have been used for feature extraction and Euclidian Distance is calculated for generating matching score. Acceptance/rejection is based on this matching score. The efficiency obtained was 93.2% when compared with other systems.

scholarly journals Biometric security: Recognition according to the pattern of palm veins

2020 ◽  
Vol XXIII (1) ◽  
pp. 257-262
Author(s):  
Mitica-Valentin Manoliu
Keyword(s):  
Near Infrared ◽  
Input Image ◽  
Infrared Light ◽  
Biometric Security ◽  
Whole Process ◽  
Vein Recognition ◽  
Palm Vein

Palm vein recognition is a promising new biometric method, which has additional potential in the forensic field. This process is performed using light using NIR(Near-infrared) LEDs and the camera that captures the acquisition of veins. The obtained images have noise with variations of rotation and translation. Therefore, the input image made by the camera must be pre-processed using characteristic processes. A set of features is extracted based on images taken from infrared light cameras and processed in order to make authentication possible. This whole process can be accomplished by several methods. Thus, the application can be used to improve the security of military ships in restricted areas, but not only.

scholarly journals Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5294
Author(s):  
Pau Muñoz-Benavent ◽  
Vicente Puig-Pons ◽  
Gabriela Andreu-García ◽  
Víctor Espinosa ◽  
Vicente Atienza-Vanacloig ◽  
...  
Keyword(s):  
Computing Time ◽  
Fork Length ◽  
Bluefin Tuna ◽  
Stereoscopic Vision ◽  
Optical Data ◽  
Real Time Processing ◽  
Acoustic Data ◽  
Atlantic Bluefin Tuna ◽  
Video Frames ◽  
Processing Techniques

A proposal is described for an underwater sensor combining an acoustic device with an optical one to automatically size juvenile bluefin tuna from a ventral perspective. Acoustic and optical information is acquired when the tuna are swimming freely and the fish cross our combined sensor’s field of view. Image processing techniques are used to identify and classify fish traces in acoustic data (echogram), while the video frames are processed by fitting a deformable model of the fishes’ ventral silhouette. Finally, the fish are sized combining the processed acoustic and optical data, once the correspondence between the two kinds of data is verified. The proposed system is able to automatically give accurate measurements of the tuna’s Snout-Fork Length (SFL) and width. In comparison with our previously validated automatic sizing procedure with stereoscopic vision, this proposal improves the samples per hour of computing time by 7.2 times in a tank with 77 juveniles of Atlantic bluefin tuna (Thunnus thynnus), without compromising the accuracy of the measurements. This work validates the procedure for combining acoustic and optical data for fish sizing and is the first step towards an embedded sensor, whose electronics and processing capabilities should be optimized to be autonomous in terms of the power supply and to enable real-time processing.

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