A Modified Adjacent Pixel Intensity Difference Quantization Method for Face Recognition

Author

Lee, Feifei ; Kotani, Koji ; Chen, Qiu ; Ohmi, Tadahiro

Author_Institution

New Ind. Creation Hatchery Center, Tohoku Univ., Sendai, Japan

fYear

2009

fDate

13-14 Dec. 2009

Firstpage

533

Lastpage

536

Abstract

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 radius-angle 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.

Keywords

face recognition; visual databases; adjacent pixel intensity difference quantization method; face database; face recognition algorithm; Face recognition; Fingerprint recognition; Histograms; Image databases; Image recognition; Pattern recognition; Pixel; Quantization; Spatial databases; Speech recognition; Adjacent pixel intensity difference quantization (APIDQ); Face recognition; Histogram;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Information Technology and Management Engineering, 2009. FITME '09. Second International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-5339-9

Type

conf

DOI

10.1109/FITME.2009.138

Filename

5381044