Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Real-time implementation of face recognition algorithms on DSP chip

Full metadata record
DC Field Value Language
dc.contributor.authorLee, SW-
dc.contributor.authorLee, SW-
dc.contributor.authorJung, HC-
dc.date.accessioned2021-09-09T12:28:30Z-
dc.date.available2021-09-09T12:28:30Z-
dc.date.created2021-06-18-
dc.date.issued2003-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/124366-
dc.description.abstractThis 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.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleReal-time implementation of face recognition algorithms on DSP chip-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, SW-
dc.identifier.scopusid2-s2.0-35248856536-
dc.identifier.wosid000184940200035-
dc.identifier.bibliographicCitationAUDIO-BASED AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, v.2688, pp.294 - 301-
dc.relation.isPartOfAUDIO-BASED AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS-
dc.citation.titleAUDIO-BASED AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS-
dc.citation.volume2688-
dc.citation.startPage294-
dc.citation.endPage301-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.subject.keywordAuthorFace Recognition-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Seong Whan photo

Lee, Seong Whan
인공지능학과
Read more

Altmetrics

Total Views & Downloads

BROWSE