Face Recognition System Based on LBPH Algorithm
In this modern time, identifying a person using a face is a standard biometric approach to distinguishing an individual from others. So techniques are required to identify a face must be quick and sufficiently enough to work in real time. But there are many difficulties within the execution of face identification in low lighting condition.
Abhishek Pratap Singh +3 more
openaire +1 more source
Stochastic Restricted LASSO‐Type Estimator in the Linear Regression Model
Among several variable selection methods, LASSO is the most desirable estimation procedure for handling regularization and variable selection simultaneously in the high‐dimensional linear regression models when multicollinearity exists among the predictor variables.
Manickavasagar Kayanan +2 more
wiley +1 more source
Face Detection and Recognition Using Raspberry PI Computer
This paper presents a face detection and recognition system utilizing a Raspberry Pi computer that is built on a predefined framework. The theoretical section of this article shows several techniques that can be used for face detection, including Haar ...
Mario Dubovečak +2 more
doaj +1 more source
Bayesian adaptive lasso quantile regression [PDF]
Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR) from a Bayesian perspective.
Al-Hamzawi, Rahim +2 more
core +2 more sources
Design and implementation of a multi-modal biometric system for company access control [PDF]
This paper is about the design, implementation, and deployment of a multi-modal biometric system to grant access to a company structure and to internal zones in the company itself. Face and iris have been chosen as biometric traits.
Ferrari, Carlo, Stefani, Elisabetta
core +2 more sources
Tempus-A Facial Recognition Technology in Attendance Monitoring
Attendance monitoring has strategic importance for every organization. It has shifted from utilizing paper-based attendance monitoring to biometrics, radio-frequency identification, Bluetooth and smart technologies, Internet of Things (IoT), cloud ...
Melanie M. Reynoso, Ariane M. Torres
doaj +1 more source
Partial Distance Correlation with Methods for Dissimilarities
Distance covariance and distance correlation are scalar coefficients that characterize independence of random vectors in arbitrary dimension. Properties, extensions, and applications of distance correlation have been discussed in the recent literature ...
Rizzo, Maria L., Szekely, Gabor J.
core +1 more source
High performance video processing in cloud data centres [PDF]
Mobile phones and affordable cameras are generating large amounts of video data. This data holds information regarding several activities and incidents. Video analytics systems have been introduced to extract valuable information from this data. However,
Anjum, Ashiq +3 more
core +1 more source
Missing Child Identification Using Deep Learning and LBPH Algorithm
Abstract—Crimes are at rise and turning into hard for police to become aware of and rescue the Missing Persons. Our Proposed System will use Face Recognition Algorithms and could have the capability for IRIS recognition as well to detect Missing Persons.
Soma Sekhar G +3 more
openaire +1 more source
Multi-lectin Affinity Chromatography and Quantitative Proteomic Analysis Reveal Differential Glycoform Levels between Prostate Cancer and Benign Prostatic Hyperplasia Sera. [PDF]
Currently prostate-specific antigen is used for prostate cancer (PCa) screening, however it lacks the necessary specificity for differentiating PCa from other diseases of the prostate such as benign prostatic hyperplasia (BPH), presenting a clinical need
Adusumilli, Ravali +6 more
core +2 more sources

