Performance evaluation of face recognition algorithms on Asian face database

Bon Woo Hwang, Myung Cheol Roh, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Human face is one of the most common and useful keys to a person's identity. Although, a number of face recognition algorithms have been proposed, many researchers believe that the technology should be improved further in oder to overcome the instability due to variable illuminations, expressions, poses and accessories. In general, face databases for European and American such as CMU PIE(USA), FERET(USA), AR Face DB(USA) and XM2VTS(UK) have been used for training face recognition algorithms and testing the performance of those. However, many of the images in databases are not adequately annotated with the exact pose angle, illumination angle and illuminant color. Also, the faces on these databases have definitely different characteristics from those of Asian. Thus, we constructed the well-designed Korean Face Database(KFDB) which includes not only images but also ground truth information for facial feature points and description files for subjects and exact capture environments. In this paper, we report the experimental results of face recognition performed using CM(Correlation Matching), PCA(Principal Component Analysis) and LFA(Local Feature Analysis) algorithms under various conditions on the KFDB.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages278-283
Number of pages6
Publication statusPublished - 2004
EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
Duration: 2004 May 172004 May 19

Publication series

NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Other

OtherProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
CountryKorea, Republic of
CitySeoul
Period04/5/1704/5/19

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Hwang, B. W., Roh, M. C., & Lee, S. W. (2004). Performance evaluation of face recognition algorithms on Asian face database. In Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 (pp. 278-283). (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition).