Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Feature Based Face Recognition using Machine Learning Techniques’
View through CrossRef
Human Face has Numerous unique Features to Distinguish between each other. Face can Identified by distinguishing between face and non-face followed by Identification. Traditionally face recognition uses distinct features Comparison to Identify the Faces which is Complex for larger databases and ambiguous in many scenarios. To improve the accuracy and Scalability Proposed method uses machine learning based Haar Cascade technique for face detection and convolutional neural network is used for feature extraction followed by classification using Euclidean distance and cosine transformation to recognize the face. The results demonstrate the work is performed well in recognizing the face efficiently with different variations.
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Title: Feature Based Face Recognition using Machine Learning Techniques’
Description:
Human Face has Numerous unique Features to Distinguish between each other.
Face can Identified by distinguishing between face and non-face followed by Identification.
Traditionally face recognition uses distinct features Comparison to Identify the Faces which is Complex for larger databases and ambiguous in many scenarios.
To improve the accuracy and Scalability Proposed method uses machine learning based Haar Cascade technique for face detection and convolutional neural network is used for feature extraction followed by classification using Euclidean distance and cosine transformation to recognize the face.
The results demonstrate the work is performed well in recognizing the face efficiently with different variations.
Related Results
A Comparative Study of Some Selected Classifiers on an Imbalanced Dataset for Sentiment Analysis
A Comparative Study of Some Selected Classifiers on an Imbalanced Dataset for Sentiment Analysis
Extracting subjective data from online user generated text documents is made quite easy with the use of sentiment analysis. For a classification task different individual algorithm...
Graphic Design for Children with Learning Disabilities Based on the Isaan Mural Painting
Graphic Design for Children with Learning Disabilities Based on the Isaan Mural Painting
The study of 'Graphic design for children with learning disabilities' is a study that delves into learning-disabled children in the Isaan region. The author used the survey to form...
Neutrosophic Hybrid Machine Learning Algorithm for Diabetes Disease Prediction
Neutrosophic Hybrid Machine Learning Algorithm for Diabetes Disease Prediction
Because of its far-reaching effects, diabetes remains a major health problem on a worldwide scale. It's a metabolic illness that causes hyperglycemia and a host of other health iss...
Intercultural Competence Development Among University Students From a Self-Regulated Learning Perspective
Intercultural Competence Development Among University Students From a Self-Regulated Learning Perspective
Abstract. Intercultural competence is defined as a lifelong learning task that can be developed in any intergroup situation. A self-regulated learning model is applied to better un...
Underwater-art: Expanding information perspectives with text templates for underwater acoustic target recognition
Underwater-art: Expanding information perspectives with text templates for underwater acoustic target recognition
Underwater acoustic target recognition is an intractable task due to the complex acoustic source characteristics and sound propagation patterns. Limited by insufficient data and na...
Minimizing Binding Errors Using Learned Conjunctive Features
Minimizing Binding Errors Using Learned Conjunctive Features
We have studied some of the design trade-offs governing visual representations based on spatially invariant conjunctive feature detectors, with an emphasis on the susceptibility of...
Minimizing Binding Errors Using Learned Conjunctive Features
Minimizing Binding Errors Using Learned Conjunctive Features
We have studied some of the design trade-offs governing visual representations based on spatially invariant conjunctive feature detectors, with an emphasis on the susceptibility of...
A Machine Learning approach combining omics data for Alzheimer’s Disease analysis
A Machine Learning approach combining omics data for Alzheimer’s Disease analysis
Alzheimer’s disease (AD) is a complex neurological disorder whose underlying mechanisms remain elusive to this day. Molecular biology methodologies, especially techniques like sing...