TY - GEN
T1 - A modified adjacent pixel intensity difference quantization method for face recognition
AU - Lee, Feifei
AU - Kotani, Koji
AU - Chen, Qiu
AU - Ohmi, Tadahiro
PY - 2009/12/1
Y1 - 2009/12/1
N2 - 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.
AB - 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.
KW - Adjacent pixel intensity difference quantization (APIDQ)
KW - Face recognition
KW - Histogram
UR - http://www.scopus.com/inward/record.url?scp=77950915376&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950915376&partnerID=8YFLogxK
U2 - 10.1109/FITME.2009.138
DO - 10.1109/FITME.2009.138
M3 - Conference contribution
AN - SCOPUS:77950915376
SN - 9780769538808
T3 - 2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009
SP - 533
EP - 536
BT - 2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009
T2 - 2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009
Y2 - 13 December 2009 through 14 December 2009
ER -