NDLI: Face recognition system based on feature extration

Content Provider	IEEE Xplore Digital Library
Author	Anith, S. Vaithiyanathan, D. Seshasayanan, R.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Anna Univ., Chennai, India (Anith, S.; Vaithiyanathan, D.; Seshasayanan, R.)
Abstract	Automatic face recognition system has been facing problems in recognizing subjects of varying ages. Age invariant recognition has been of great use in tracking people database especially in public domain systems like driving license, passport, and criminal records etc., this paper deals with a forensic face recognition which is robust to changes in age, pose, expression and illumination. It has a pre-processing stage in which all the background information including the hairy parts in the face is removed by thresholding. After preprocessing the thresholded image is divided into macro blocks. The scale invariant feature points are extracted from all the blocks by means of Scale Invariant Feature Transform. These extracted feature points are further refined by Taylor transformation technique and dominant orientation is assigned to every feature point. The common features between the blocks are grouped by means of Feature Discriminate Analysis. These features are classified with the ferns from the database by means of Naive Bayes Classifier. This approach tends to give more robustness to pose and expression variations thereby improved accuracy of 60% in FG NET database compared to other probabilistic approaches with a trade off in processing time.
Sponsorship	IEEE Madras Sect.
Starting Page	660
Ending Page	664
File Size	1905310
Page Count	5
File Format	PDF
ISBN	9781467357869
e-ISBN	9781467357883
DOI	10.1109/ICICES.2013.6508266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-02-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Modified feature discriminant analysis Accuracy Databases Face recognition Thresholding Aging Feature extraction Automatic face recognition system(afrs) Scale invariant feature transform(sift) Face Naives bayes classifier
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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