Real-Time implementation of face recognition algorithms on DSP chip

Seong Whan Lee, Sang Woong Lee, Ho Choul Jung

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper describes a prototype implementation of face recognition and verification algorithms in a stand-alone system using the TI TMS320C6711 chip. This system is organized to capture an image sequence, find the features of face in the images, and recognize and verify a person. The current implementation uses the methods of PCA(Principal Component Analysis) and SVM(Support Vector Machines). We have made several tests on video data, and measured the performance and the speed of the proposed system in real environment. Finally, the result has confirmed us that the proposed system can be applied to various applications which are impossible in conventional PC-based systems.

Original languageEnglish
Pages (from-to)294-301
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2688
Publication statusPublished - 2003 Dec 1

Fingerprint

Digital signal processors
Recognition Algorithm
Face recognition
Principal Component Analysis
Face Recognition
Principal component analysis
Support vector machines
Chip
Real-time
Image Sequence
Support Vector Machine
Person
Facial Recognition
Face
Prototype
Verify

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

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