REGION-DIVISION VECTOR QUANTIZATION HISTOGRAM METHOD FOR HUMAN FACE RECOGNITION KK,QC,FL,TO*

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17 Νοε 2013 (πριν από 3 χρόνια και 6 μήνες)

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257


REGION
-
DIVISION VECTOR QUAN
TIZATION HISTOGRAM M
ETHOD FOR
HUMAN FACE RECOGNITI
ON


K
OJI
K
OTANI
,

Q
IU

C
HEN
,

F
EIFEI
L
EE
,

AND
T
ADAHIRO
O
HMI
*


Department of Electronics, Graduate School of Engineering, Tohoku University

*New Industry Creation Hatchery Center, To
hoku University

Aza
-
Aoba
6
-
6
-
05
, Aramaki, Aoba
-
ku, Sendai 980
-
8579, JAPAN

E
-
mail:
qiu
@fff.niche.tohoku.ac.jp



ABSTRACT

We have developed a very simple yet highly reliable face recognition method called
VQ histogram method. Codevector referred (or matched)

count
histogram
, which is obtained by
Vector Quantization (VQ) processing of facial image, is utilized as a very effective personal feature
value.
Furthermore
, for adding the geo
metri
c information of the
face

to improve the recognition
accuracy
,
a region
-
division (RD) VQ histogram method is proposed in this paper. We divide the
facial area into 5 regions relating to the facial parts (forehead, eye, nose, mouth, jaw). Recognition
results with different parts are first obtained
separately

and then combined b
y weighted averaging.
Top1
recognition

rate of 97.4% is obtained by using FB task (1195 images) in the standard FERET
database. By using the private
database, which

was

taken in
practical

but yet reasonably regulated
environment
, Top1
recognition

rate of 1
00% is realized.