NDLI: A robust intelligent face recognition framework using GNP-based multi-agent system

Content Provider	IEEE Xplore Digital Library
Author	Deng Zhang Mabu, S. Hirasawa, K.
Copyright Year	2011
Description	Author affiliation: Graduate School of Information, Production and systems, Waseda University, Fukuoka, Japan (Deng Zhang; Mabu, S.; Hirasawa, K.)
Abstract	Previously, a principal component analysis (PCA) based face recognition framework using Genetic Network Programming (GNP) and Fuzzy Data Mining (GNP-PCA) was proposed to improve both the accuracy and robustness of the conventional PCA-based face recognition algorithm in the complicated illumination database. However, it is still not robust enough in the noisy testing environments. Therefore, a GNP-based multi-agent system is constructed by GNP-PCA and multi-resolution analysis in this paper. In the proposed approach, the different scales of images in the training set are regarded as different environments and each GNP-PCA is performed as an agent in each environment. Recognition is eventually realized by evaluating the prediction scores for different classes. According to the experimental results, the proposed method has almost no accuracy loss in the Gaussian noisy testing environments compared with GNP-PCA.
Starting Page	1152
Ending Page	1156
File Size	353083
Page Count	5
File Format	PDF
ISBN	9781457707148
e-ISBN	9784907764395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE (The Society of Instrument and Cont
Subject Keyword	Testing Face recognition Noise Noise measurement Robustness Databases Principal component analysis Face Recognition Genetic Network Programming Multi-agent System Multi-resolution Analysis Principal Component Analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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