Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00428536" target="_blank" >RIV/67985556:_____/14:00428536 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.dsp.2014.04.008" target="_blank" >http://dx.doi.org/10.1016/j.dsp.2014.04.008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.dsp.2014.04.008" target="_blank" >10.1016/j.dsp.2014.04.008</a>

Result language

angličtina

Original language name

Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GAP103%2F11%2F1552" target="_blank" >GAP103/11/1552: Moments and Moment Invariants in Image Analysis</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Digital Signal Processing

ISSN

1051-2004

e-ISSN

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Volume of the periodical

31

Issue of the periodical within the volume

1

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

27

Pages from-to

13-27

UT code for WoS article

000337267200002

EID of the result in the Scopus database

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