Amanote Research

Amanote Research

    RegisterSign In

Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning

Lecture Notes in Computer Science - Germany
doi 10.1007/11569947_6
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2005

Authors
Linlin ShenLi BaiDaniel BardsleyYangsheng Wang
Publisher

Springer Berlin Heidelberg


Related search

Face Recognition Using Ada-Boosted Gabor Features

English

Principal Gabor Filters for Face Recognition

2009English

SVM-Based Face Recognition Using Genetic Search for Frequency-Feature Subset Selection

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Face Recognition Based on Gabor Local Feature and Convolutional Neural Network

2017English

Learning Patch Correspondences for Improved Viewpoint Invariant Face Recognition

2008English

Efficient Gabor Phase Based Illumination Invariant for Face Recognition

Advances in Multimedia
Computer Science
2017English

Gabor Filter Based Feature Vector for Dynamic Signature Recognition

International Journal of Computer Applications
2010English

Exploration of Improved Methodology for Character Image Recognition of Two Popular Indian Scripts Using Gabor Feature With Hidden Markov Model

International Journal of Computer Applications
2015English

Feature Selection Method for Speaker Recognition Using Neural Network

International Journal of Computer Applications
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy