Face recognition system using machine learning algorithm
S Sharma, M Bhatt, P Sharma - 2020 5th International …, 2020 - ieeexplore.ieee.org
Face recognition in artificial intelligence is a frequent problem. This application was
extensively used in our daily life. Several smartphones were opening phones with facial …
extensively used in our daily life. Several smartphones were opening phones with facial …
[PDF][PDF] Face identification based on K-nearest neighbor
NKA Wirdiani, P Hridayami… - Scientific Journal …, 2019 - pdfs.semanticscholar.org
At this moment, face identification has been widely applied for security on gadgets, smart
home security, and others. Face dominates as a biometric which is most increase in the next …
home security, and others. Face dominates as a biometric which is most increase in the next …
Face Recognition Algorithms: A Review
EA Khorsheed, ZA Nayef - Academic Journal of Nawroz …, 2022 - journals.nawroz.edu.krd
Due to its potential for application in various fields of face recognition, the field of research is
very fast growing. In everyday life, to receive and interpret information, and to recognize …
very fast growing. In everyday life, to receive and interpret information, and to recognize …
Unsupervised adaptive embedding for dimensionality reduction
High-dimensional data are highly correlative and redundant, making it difficult to explore
and analyze. Amount of unsupervised dimensionality reduction (DR) methods has been …
and analyze. Amount of unsupervised dimensionality reduction (DR) methods has been …
A novel formulation of trace ratio linear discriminant analysis
The linear discriminant analysis (LDA) method needs to be transformed into another form to
acquire an approximate closed-form solution, which could lead to the error between the …
acquire an approximate closed-form solution, which could lead to the error between the …
LDA-CNN: Linear discriminant analysis convolution neural network for periocular recognition in the wild
Due to the COVID-19 pandemic, the necessity for a contactless biometric system able to
recognize masked faces drew attention to the periocular region as a valuable biometric trait …
recognize masked faces drew attention to the periocular region as a valuable biometric trait …
Pengenalan Wajah Menggunakan Metode Linear Discriminant Analysis dan k Nearest Neighbor
F Fandiansyah, JY Sari… - Ultimatics: Jurnal Teknik …, 2017 - ejournals.umn.ac.id
Face recognition is one of the biometric system that mostly used for individual recognition in
the absent machine or access control. This is because the face is the most visible part of …
the absent machine or access control. This is because the face is the most visible part of …
AWARDS
S Mahajan, A Nambirajan, I Gupta - Journal of Cytology, 2021 - journals.lww.com
Background: Programmed death ligand-1 (PD-L1) assessed by immunohistochemistry is an
important predictive biomarker for immunotherapy in advanced stage non-small cell lung …
important predictive biomarker for immunotherapy in advanced stage non-small cell lung …
Facial region segmentation based emotion recognition using K-nearest neighbors
As part of human emotion recognition, a As part of human emotion recognition, a facial
expression recognition method is proposed where segmentation of facial regions are done …
expression recognition method is proposed where segmentation of facial regions are done …
A facial region segmentation based approach to recognize human emotion using fusion of HOG & LBP features and artificial neural network
Mental condition and sentiment of a person can be analyzed through facial expressions. An
emotion recognition system is proposed by recognizing facial expressions. Input images are …
emotion recognition system is proposed by recognizing facial expressions. Input images are …