NDLI: Intellectually combined face recognition using curvelet based principle component analysis for feature extraction and Bayesian Classifier

Content Provider	IEEE Xplore Digital Library
Author	Rajkumar, N. Vijayakumar, S. Murukesh, C.
Copyright Year	2011
Description	Author affiliation: Department of Electronics and Insturmentation, Velammal Engineering College, Chennai, India (Murukesh, C.) \|\| Department of Mobile Pervasive and Computing (TIFAC CORE), Velammal Engineering College, Chennai, India (Rajkumar, N.; Vijayakumar, S.)
Abstract	Biometric based face recognition provides an facial detection and verification system. The system is a ‘No Human Touch’ technology. Because of this feature, face recognition systems have an edge over other biometric security products. No human touch feature makes it less prone to physical damage and human errors. In this paper, a new face recognition method based on 2D Level 2 Wavelet decomposition, PCA (principal Component Analysis) with singular value decomposition, and Bayesian Classifier is proposed. This method consists of three steps :i) Preprocessing, ii) feature extraction using curvelet, PCA with Singular value decomposition iii) classification and recognition using Bayes' algorithm. Combination of PCA, with Singular Value Decomposition and Bayesian classifier is used for improving the rate of recognition when a few samples of images are available. Bayesian classifier is used to reduce the number of an misclassification caused by non-linearly separable classes. The proposed method provides a fast computation, relatively simple and works well in an constrained environment. This type of recognition can play an important role for authentication purpose in security related areas such as airport, banking, and secret missions.
Starting Page	374
Ending Page	378
File Size	923498
Page Count	5
File Format	PDF
ISBN	9781612846545
e-ISBN	9781612846538
DOI	10.1109/ICSCCN.2011.6024578
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometric Discrete wavelet transform Face recognition Power law transformation Phase congruency Humans Transforms Face Recognition Bayesian classifier Bayesian methods Principle component analysis Feature extraction Curvelet feature extraction Face Principal component analysis Histogram equalization Singular value decomposition
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
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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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