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

Journal of Computer Science- United States

doi 10.3844/jcssp.2012.1428.1433

Full Text

Abstract

Available in

Date

Authors

Unknown

Publisher

Science Publications

Related search

Convolutional Neural Network Based Feature Extraction for IRIS Recognition

International Journal of Computer Science and Information Technology
2018English

Invariant Feature Extraction for Component-Based Facial Recognition

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

A Fingerprint-Based Access Control Using Principal Component Analysis and Edge Detection

2010English

Biometric Authentication With Face Recognition Using Principal Component Analysis and Feature Based Technique

International Journal of Computer Applications
2012English

DWT and DCT Based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification

International Journal of Computer Applications
2012English

A Biometric System for Iris Recognition Based on Fourier Descriptors and Principle Component Analysis

Iraqi Journal for Electrical and Electronic Engineering
2017English

Tetrode Spike Detection Method Based on Quaternion Principle Component Feature Extraction

2014English

An Ingenious Texture and Shape Feature Extraction in Remote Sensing Images by Means of Multi Kernel Principal Component Analysis With Pyramidal Wavelet Transform and Canny Edge Detection Method

ICTACT Journal on Image and Video Processing
2018English

A Novel Method for Feature Extraction and Automatic Recognition of Tire Defects Using Independent Component Analysis

DEStech Transactions on Materials Science and Engineering
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy