Počet záznamů: 1
Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform
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SYSNO ASEP 0428536 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform Tvůrce(i) Farokhi, Sajad (UTIA-B)
Shamsuddin, S.M. (MY)
Sheikh, U.U. (MY)
Flusser, Jan (UTIA-B) RID, ORCID
Khansari, M. (IR)
Jafari-Khouzani, K. (US)Celkový počet autorů 6 Zdroj.dok. Digital Signal Processing. - : Elsevier - ISSN 1051-2004
Roč. 31, č. 1 (2014), s. 13-27Poč.str. 27 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova Zernike moments ; Undecimated discrete wavelet transform ; Decision fusion ; Near infrared ; Face recognition Vědní obor RIV JD - Využití počítačů, robotika a její aplikace CEP GAP103/11/1552 GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 UT WOS 000337267200002 DOI 10.1016/j.dsp.2014.04.008 Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2015
Počet záznamů: 1