Human face recognition using a spatially weighted modified Hausdorff distance

Kwan Ho Lin, Baofeng Guo, Kin Man Lam, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

22 Citations (Scopus)

Abstract

Hausdorff distance is an efficient measure of the similarity of two point sets. In this paper, we propose a modified Hausdorff distance measure for human face recognition. This modified Hausdorff distance measure incorporates information about the location of important facial features when comparing the edge maps of two facial images. The distance measure is weighted according to a weighted function derived from the spatial information of the human face. This distance measure, namely spatially weighted Hausdorff distance (SWHD), is further improved by combining it with the 'doubly' modified Hausdorff distance (M2HD). This new Hausdorff distance measure is called spatially weighted 'doubly' Hausdorff distance (SW2HD), which can alleviate the effect of facial expressions in human face recognition. Experiment results show that both the SWHD and SWZHD outperform the M2HD in recognition rate. The SW2HD can achieve the best recognition rate among the different Hausdorff distance measures. In our experiment, its recognition rates are 89%, 94%, and 98% for the first one, the first five, and the first ten likely matched faces, respectively. The average processing time for recognition of a human face is less than one second.
Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages477-480
Number of pages4
Publication statusPublished - 1 Dec 2001
Event2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong
Duration: 2 May 20014 May 2001

Conference

Conference2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
CountryHong Kong
CityHong Kong
Period2/05/014/05/01

ASJC Scopus subject areas

  • Computer Science(all)

Cite this