A modified adjacent pixel intensity difference quantization method for face recognition

Feifei Lee, Koji Kotani, Qiu Chen, Tadahiro Ohmi

研究成果: Conference contribution

抄録

We have proposed a very simple yet highly reliable face recognition algorithm using Adjacent Pixel Intensity Difference Quantization (APIDQ) histogram previously. In this paper, we present a modified quantization method to improve recognition performance. After the intensity variation vectors for all the pixels in an image are calculated, each vector is quantized directly in (dIx, dIy) plane instead of r-θ plane. By counting the number of elements in each quantized area in the (dIx, dIy) plane, a histogram can be created. This histogram, obtained by APIDQ for facial images, is utilized as a very effective personal feature. Experimental results show maximum average recognition rate of 97.2% for 400 images of 40 persons from the publicly available face database of AT&T Laboratories Cambridge.

本文言語English
ホスト出版物のタイトル2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009
ページ533-536
ページ数4
DOI
出版ステータスPublished - 2009 12 1
イベント2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009 - Sanya, China
継続期間: 2009 12 132009 12 14

出版物シリーズ

名前2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009

Other

Other2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009
CountryChina
CitySanya
Period09/12/1309/12/14

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Information Systems
  • Information Systems and Management

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