| bibtype |
J -
Journal Article
|
| ARLID |
0428536 |
| utime |
20240103204255.8 |
| mtime |
20140819235959.9 |
| WOS |
000337267200002 |
| DOI |
10.1016/j.dsp.2014.04.008 |
| title
(primary) (eng) |
Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform |
| specification |
| page_count |
27 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0252719 |
| ISSN |
1051-2004 |
| title
|
Digital Signal Processing |
| volume_id |
31 |
| volume |
1 (2014) |
| page_num |
13-27 |
| publisher |
|
|
| keyword |
Zernike moments |
| keyword |
Undecimated discrete wavelet transform |
| keyword |
Decision fusion |
| keyword |
Near infrared |
| keyword |
Face recognition |
| author
(primary) |
| ARLID |
cav_un_auth*0317051 |
| name1 |
Farokhi |
| name2 |
Sajad |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0302104 |
| name1 |
Shamsuddin |
| name2 |
S.M. |
| country |
MY |
|
| author
|
| ARLID |
cav_un_auth*0302105 |
| name1 |
Sheikh |
| name2 |
U.U. |
| country |
MY |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0290073 |
| name1 |
Khansari |
| name2 |
M. |
| country |
IR |
|
| author
|
| ARLID |
cav_un_auth*0290074 |
| name1 |
Jafari-Khouzani |
| name2 |
K. |
| country |
US |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP103/11/1552 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273618 |
|
| abstract
(eng) |
This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform (UDWT) and global features are extracted from the whole face image by means of Zernike moments (ZMs). Spectral regression discriminant analysis (SRDA) is then used to reduce the dimension of features. In order to make full use of global and local features and further improve the performance, a decision fusion technique is employed by using weighted sum rule. Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that the proposed method has superior overall performance compared to some other methods in the presence of facial expressions, eyeglasses, head rotation, image noise and misalignments. Moreover its computational time is acceptable for on-line face recognition systems. |
| reportyear |
2015 |
| RIV |
JD |
| num_of_auth |
6 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0235481 |
| cooperation |
| ARLID |
cav_un_auth*0303660 |
| institution |
UTM |
| name |
Universiti Teknologi |
| country |
MY |
|
| confidential |
S |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
0.444 |
| mrcbT16-s |
0.509 |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
43.137 |
| mrcbT16-C |
51.205 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2014 |
| mrcbU34 |
000337267200002 WOS |
| mrcbU63 |
cav_un_epca*0252719 Digital Signal Processing 1051-2004 1095-4333 Roč. 31 č. 1 2014 13 27 Elsevier |
|