Invariant Feature Extraction for Component-Based Facial Recognition

International Journal of Advanced Computer Science and Applications - United Kingdom
doi 10.14569/ijacsa.2020.0110386
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Science and Information Organization

Related search

Automatic Facial Feature Extraction for Face Recognition

2007English

Performance Analysis of Feature Extraction Techniques for Facial Expression Recognition

International Journal of Computer Applications
2017English

Principal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris Recognition

Journal of Computer Science
Computer NetworksSoftwareArtificial IntelligenceCommunications
2012English

Model Based Analysis of Face Images for Facial Feature Extraction

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Convolutional Neural Network Based Feature Extraction for IRIS Recognition

International Journal of Computer Science and Information Technology
2018English

Gradient Direction Pattern: A Gray-Scale Invariant Uniform Local Feature Representation for Facial Expression Recognition

Journal of Applied Sciences
2013English

Facial Expression Recognition Based on Perceived Facial Images and Local Feature Matching

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Adaptive Principle Component Analysis to Improve Scale Invariant Feature Transform Matching for Face Recognition Applications

International Journal of Artificial Intelligence and Applications for Smart Devices
2016English

An Efficient Feature Extraction Method With Pseudo-Zernike Moment for Facial Recognition of Identical Twins

International Journal of Computational Science and Information Technology
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy