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A Novel Ear Recognition Method Using Feature Combination

Document Type : Original Article

10.21608/asc.2008.148463

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.

Keywords

  • Principle component analysis (PCA)
  • linear discriminant analysis (LDA)
  • discrete cosine transform (DCT)
  • Combining features

Main Subjects

  • 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
  • High-Performance Computing
  • Human-Machine Interactions
  • Image & speech Processing
  • Intelligent Systems
  • Mobile & Pervasive Computing
  • Neural Networks & Fuzzy Logic
  • Pattern Recognition
  • Real-Time Embedded Systems
  • Software Engineering
  • Virtual Reality

Journal of the ACS Advances in Computer Science
Volume 2, Issue 1 - Serial Number 1
2008
Pages 1-15
View on SCiNiTO View on SCiNiTO

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APA

(2008). A Novel Ear Recognition Method Using Feature Combination. Journal of the ACS Advances in Computer Science, 2(1), 1-15. doi: 10.21608/asc.2008.148463

MLA

. "A Novel Ear Recognition Method Using Feature Combination", Journal of the ACS Advances in Computer Science, 2, 1, 2008, 1-15. doi: 10.21608/asc.2008.148463

HARVARD

(2008). 'A Novel Ear Recognition Method Using Feature Combination', Journal of the ACS Advances in Computer Science, 2(1), pp. 1-15. doi: 10.21608/asc.2008.148463

VANCOUVER

A Novel Ear Recognition Method Using Feature Combination. Journal of the ACS Advances in Computer Science, 2008; 2(1): 1-15. doi: 10.21608/asc.2008.148463

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