NDLI: PSO-RBFNN based optimized PNN classifier model

Content Provider	IEEE Xplore Digital Library
Author	Jin Liu Xiao Fu Xingbin Yao
Copyright Year	2012
Description	Author affiliation: Political Dept., Air Force Aviation Univ., Changchun, China (Xingbin Yao) \|\| Dept. of Fundamental Courses, Air Force Aviation Univ., Changchun, China (Jin Liu; Xiao Fu)
Abstract	In this paper, a self-adaptive method of iris boundary detection is presented and the method can segment the iris area accurately regardless of the shapes of iris boundaries. On the same time, a new feature extraction technique based on combination using special Gabor filters and wavelet maxima components is proposed. Finally, The radial basis function neural network (RBFNN) with a particle swarm optimization (PSO) a novel iris iris recognition technique with intelligent classifier is proposed for high performance iris recognition. this paper combines radial basis function neural network (RBFNN) and particle swarm optimization (PSO) for an optimized PNN classifier model. The experimental results reveal the proposed algorithm provides superior performance in iris recognition.
Sponsorship	IEEE Harbin. Sect.
Starting Page	456
Ending Page	459
File Size	412244
Page Count	4
File Format	PDF
ISBN	9781467329637
e-ISBN	9781467329644
DOI	10.1109/ICCSNT.2012.6525976
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probabilistic neural network RBF neural networks Particle swarm optimization Iris recognition
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	Mr. Siddhartha Mukherjee siddhartha@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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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