Rotation and Noise Invariant Near-Infrared Face Recognition by means of Zernike Moments and Spectral Regression Discriminant Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00390234" target="_blank" >RIV/67985556:_____/13:00390234 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1117/1.JEI.22.1.013030" target="_blank" >http://dx.doi.org/10.1117/1.JEI.22.1.013030</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/1.JEI.22.1.013030" target="_blank" >10.1117/1.JEI.22.1.013030</a>

Result language

angličtina

Original language name

Rotation and Noise Invariant Near-Infrared Face Recognition by means of Zernike Moments and Spectral Regression Discriminant Analysis

Original language description

Face recognition is a rapidly growing research area, which is based heavily on the methods of machine learning, computer vision, and image processing.We propose a rotation and noise invariant near-infrared face-recognition system using an orthogonal invariant moment, namely, Zernike moments (ZMs) as a feature extractor in the near-infrared domain and spectral regression discriminant analysis (SRDA) as an efficient algorithm to decrease the computational complexity of the system, enhance the discrimination power of features, and solve the ?small sample size problem simultaneously. Experimental results based on the CASIA NIR database show the noise robustness and rotation invariance of the proposed approach. Further analysis shows that SRDA as a sophisticated technique, improves the accuracy and time complexity of the system compared with other data reduction methods such as linear discriminant analysis.

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

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

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

Name of the periodical

Journal of Electronic Imaging

ISSN

1017-9909

e-ISSN

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Volume of the periodical

22

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

1-11

UT code for WoS article

000322079000003

EID of the result in the Scopus database

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