Person Identification using Data Mining of Facial Features Extraction

Authors

  • Shweta Shirpurkar  Rereasch Shcolor, IICC,RTM university, Nagpur, Maharashtra, India
  • Dr. R. A. Ingolikar  Head Computer Science, S.F.S. Nagpur, Maharashtra, India

Keywords:

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

Abstract

This paper deals with the person identification using data mining of facial features. As facial features play important role in identifying the person, they are extracted and used for data The geometric features such as distance between two eyes, distance between left eye and centre of nose, distance mining.between right eye and centre of nose, mouth length and lips portions are extracted. The random forest data mining algorithm is used for extracting face patterns. It reveals that there is a specific pattern of facial features for normal and abnormal persons. Which helps us to classify the person into two categories viz. normal and abnormal person.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shweta Shirpurkar, Dr. R. A. Ingolikar, " Person Identification using Data Mining of Facial Features Extraction " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.952-960, March-April-2018.