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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
ARCHITECTURE TO MAXIMIZE PREDICTIVE ACCURACY OF FACE RECOGNITION SYSTEMS USING SVM
Authors
SHASHI PRABHA ANAN
Keywords
Face recognition, Principal Components Analysis (PCA), Support Vector Machine (SVM), Gabor features, Linear Discriminant Analysis, Classification, Regression.
Abstract
ABSTRACT: Security system are basically part of security issues related to our work environment, it is mandatory. Some of the well-known application areas of face recognition are Biometric, Information security, Law Enforcement and Surveillance, Smart Cards, Access Control. Support Vector Machine (SVM) is a classification and regression prediction tool that uses machine learning theory to maximize predictive accuracy while automatically avoiding over-fit to the data. Support Vector machines can be defined as systems which use hypothesis space of a linear functions in a high dimensional feature space, trained with a learning algorithm from optimization theory that implements a learning bias derived from statistical learning theory. It is also being used for many applications, such as hand writing analysis, face analysis and so forth, especially for pattern classification and regression based applications.
IJCRT's Publication Details
Unique Identification Number - IJPUB1801098
Paper ID - 180384
Page Number(s) - 603 - 608
Pubished in - Volume 6 | Issue 1 | January 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
SHASHI PRABHA ANAN, "ARCHITECTURE TO MAXIMIZE PREDICTIVE ACCURACY OF FACE RECOGNITION SYSTEMS USING SVM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.603 - 608, January 2018, Available at :http://www.ijcrt.org/papers/IJPUB1801098.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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