0428536 20240103204255.820140819235959.9 000337267200002 10.1016/j.dsp.2014.04.008 27 s. P cav_un_epca*02527191051-2004311 (2014)13-27Elsevier Zernike moments Undecimated discrete wavelet transform Decision fusion Near infrared Face recognition cav_un_auth*0317051 Farokhi Sajad Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0302104 Shamsuddin S.M. MY cav_un_auth*0302105 Sheikh U.U. MY cav_un_auth*0101087 Flusser Jan Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0290073 Khansari M. IR cav_un_auth*0290074 Jafari-Khouzani K. US http://library.utia.cas.cz/separaty/2014/ZOI/flusser-0428536.pdf GAP103/11/1552 GA ČR cav_un_auth*0273618 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. 2015 JD 6 RVO:67985556 http://hdl.handle.net/11104/0235481 cav_un_auth*0303660 UTM Universiti Teknologi MY S ENGINEERINGELECTRICALELECTRONIC 0.444 0.509 Q2 43.137 51.205 Q3 Q2 2014 000337267200002 WOS cav_un_epca*0252719 Digital Signal Processing 1051-2004 1095-4333 Roč. 31 č. 1 2014 13 27 Elsevier