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148463

A Novel Ear Recognition Method Using Feature Combination

Article

Last updated: 27 Dec 2024

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Tags

Advanced Computer Architecture
Agent-Based & Internet-Based Systems
Artificial Intelligence
Biomedical Engineering & Bioinformatics
Communications & Wireless Systems
Computer Networks and Systems
Control Theory & Applications
Database & Data Mining
Digital Signal Processing
E-Learning, E-commerce, E-business
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Abstract

In this paper we aim to improve the accuracy of the recognition rate in the ear recognition by developing theoretical framework for combining (serial or parallel) statistical feature extraction methods (PCA, LDA, and DCT). Experimental comparisons of the combining methods demonstrate that the combination methods outperform other single feature extraction methods.

DOI

10.21608/asc.2008.148463

Keywords

Principle component analysis (PCA), linear discriminant analysis (LDA), Discrete Cosine Transform (DCT), Combining features

Volume

2

Article Issue

1

Related Issue

21813

Issue Date

2008-06-01

Receive Date

2021-02-14

Publish Date

2008-06-01

Page Start

1

Page End

15

Print ISSN

1687-8515

Online ISSN

2682-3578

Article File

ASC_Volume 2_Issue 1_Pages 1-15.pdf

PDF . 8.6MB

Link

https://asc.journals.ekb.eg/article_148463.html

Detail API

https://asc.journals.ekb.eg/service?article_code=148463

Order

1

Type

Original Article

Type Code

1,549

Publication Type

Journal

Publication Title

Journal of the ACS Advances in Computer Science

Publication Link

https://asc.journals.ekb.eg/

MainTitle

A Novel Ear Recognition Method Using Feature Combination

Details

Type

Article

Created At

23 Jan 2023