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  Published Paper Details:

  Paper Title

DATA MINING OF FACIAL FEATURES USING RANDOM FOREST ALGORITHM FOR PERSON CLASSIFICATION

  Authors

  Shweta Shirpurkar,  Dr. (Mrs).R. A. Ingolikar

  Keywords

Person classification, facial feature extraction, random forest algorithm, data mining

  Abstract


This paper deals with the person classification using data mining of facial features using Random forest algorithm. The geometric features such as distance between two eyes (Deyes), distance between left eye and centre of nose (DLN), distance between right eye and centre of nose (DRN), mouth length (ML) and lips (DLips) portions are extracted. The mathematical model of these extracted features is formed. The extracted features will be taken as input variables of the decision trees. The forest of various decision trees is created. Further, random forest classification algorithm is used for classification of the face patterns. Growing an ensemble of decision trees and allowing them to vote for the most popular class, can produce significant increase in classification accuracy for person classification.

  IJCRT's Publication Details

  Unique Identification Number - IJPUB1801339

  Paper ID - 183733

  Page Number(s) - 2112 - 2119

  Pubished in - Volume 6 | Issue 1 | March 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shweta Shirpurkar,  Dr. (Mrs).R. A. Ingolikar ,   "DATA MINING OF FACIAL FEATURES USING RANDOM FOREST ALGORITHM FOR PERSON CLASSIFICATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.2112 - 2119, March 2018, Available at :http://www.ijcrt.org/papers/IJPUB1801339.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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