Feature extraction for face recognition based on Gabor filters and two-dimensional locality preserving projections

Yi Chun Lee, Chin-Hsing Chen

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

4 Citations (Scopus)

Abstract

In this paper, two-dimensional locality preserving projections (2DLPP) was proposed to extract Gabor features for face recognition. 2DPCA is first utilized for dimensionality reduction of Gabor feature space, which is implemented directly from 2D image matrices. The objective of 2DLPP is to preserve the local structure of the image space by detecting the intrinsic manifold structure. In our method, an original image is convolved with Gabor filters corresponding to various orientations and scales to give its Gabor representation. 2DPCA is implemented in the row direction prior to 2DLPP in the column direction. Experiments are conducted on the ORL face database, which shows higher recognition performance of the proposed methods. The top recognition rate can reach 95.5%.

Original languageEnglish
Title of host publicationIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Pages106-109
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
EventIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing - Kyoto, Japan
Duration: 2009 Sep 122009 Sep 14

Publication series

NameIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

Other

OtherIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
CountryJapan
CityKyoto
Period09-09-1209-09-14

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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