Face Recognition Using Infrared Imaging

Abstract

This study investigated a (IR) face recognition system using an uncooled IR camera. A computer-based image collection set-up was designed and used to create a small database of 420 facial images, from 14 volunteers. Manual and automated facial image cropping routines were implemented. Two linear approaches (PCA and LDA) for the dataset dimension reduction and classification were implemented and their resulting classification performances compared. Results show that the best PCA-based average classification performance is equal to 92,22% while the LDA-based classification performance is equal to 99,40%. These results successfully show that an uncooled IR camera may be used to disseminate between individual subjects obtained from a small database collected under a very controlled environment.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2002
Accession Number
ADA411044

Entities

People

  • Diogo C. Pereira

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Authentication
  • Biometric Security
  • Biometrics
  • Classification
  • Computer Vision
  • Computers
  • Controlled Environment
  • Databases
  • Detection
  • Detectors
  • Dimensionality Reduction
  • Electrical Engineering
  • Information Science
  • Pattern Recognition
  • Personnel Management
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.

Technology Areas

  • AI & ML