Biometrics identification and verification using projection-based face recognition system

Hyeonjoon Moon, Jaihie Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Over the last several years, numerous biometrics algorithms have been investigated for face, fingerprints, iris, and voice reocognition applications. For face recognition research, projection-based face recognition system form the basis of numerous algorithms and studies [3]. For biometrics identification and verification scenarios, we explicitly state the design decisions by introducing a generic modular face recognition system. We explored different implementations of preprocessing, feature extraction, and recognition module, and evaluate the different implementations using the FERET evaluation protocol. Our experiment includes changing the illumination normalization procedure, studying effects on algorithm performance of compressing images using JPEG and wavelet compression algorithms, and varying the number of eigenvectors in the representation. We perform series of experiments based on the standard FERET database and report results for identification and verification scenarios.

Original languageEnglish
Pages (from-to)380-394
Number of pages15
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2908
Publication statusPublished - 2004 Dec 1

Fingerprint

Biometrics
Face recognition
Face Recognition
Projection
Feature Recognition
Scenarios
Iris
Fingerprint
Eigenvalues and eigenfunctions
Eigenvector
Feature Extraction
Normalization
Experiment
Preprocessing
Feature extraction
Illumination
Wavelets
Compression
Lighting
Experiments

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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