Person Identification using Data Mining of Facial Features Extraction

Authors(2) :-Shweta Shirpurkar, Dr. R. A. Ingolikar

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 952-960
Manuscript Number : CSEIT11833333
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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.
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