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.

References

  1. Faisal Rehman,M. Usman Akram,Kunwar  Faraz and Naveed Riaz,"Human identification using dental biometric analysis,
  2. Anitha L.,Arunvinodh C. &  Dhanya K.K.  "Biometric system using graph matching",IEEE March 2015  
  3. Namrata Srivastava,Utkarsh Agrawal,Soumava Kumar Roy and U.S. Tiwary,"Human identification using Linear Multiclass SVM and Eye Movement    Biometrics",  IEEE paper,August 2015
  4. Gil Santos,Paulo T. Fiadeiro & Hugo Proenca,"BioHDD: a dataset for studying biometric identification on heavily  degraded data   IEEE paper,March 2015
  5. Daniel A. Reid,Mark S. Nixon,Sarah V. Stevenage, "Soft Biometrics; Human Identification Using Comparative Descriptions IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume:      36,Issue: 6,June 2014 )
  6. Han,J. & Kamber,M. (2002). Data mining Concepts and Techniques,Morgan Kaufman Publishers,ISBN 1-55860-489-8,CA,USA.
  7. Data Mining Techniques: Michael J. Berry,Gordon Linoff  International Journal of Computer Technology and Electronics Engineering (IJCTEE)
  8. Ming-Syan Chen,Jiawei Han,Philip S yu. Data Mining: An Overview from a Database PerspectiveJ]. IEEE Transactions on Knowledge and Data Engineering,l996,8(6):866-883.
  9. R Agrawal ,T 1 mielinski,A Swami. Database Mining: A Performance PerspectiveJ]• IEEE Transactions on Knowledge and Data Engineering,1993,12:914-925.
  10. Fayyad,Usama; Gregory Piatetsky-Shapiro,and Padhraic Smyth
  11. "Data mining tools",by Ralf Mikut,Markus Reischl,Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,2011
  12. Burge,M. and Burger,W. Ear Biometrics. IA. Jain R. Bolle and S. Pankanti,editors,BIOMETRICS: Personal Identification in a Networked Society,pp. 273-286. Kluwer Academic,1998.
  13. Burge,M. and Burger,W. Ear Biometrics in Computer Vision. In the 15th International Conference of Pattern Recognition,ICPR 2000,pp. 826-830. Carreira-Perpinan,M.A. Abstract from MSc thesis Compression neural networks for feature
  14. Hui Chen,Bir Bhanu,"Human Ear Recognition in 3D," IEEE Transactions on Pattern Analysis and Machine Intelligence,vol. 29,no. 4,pp. 718-737,Apr. 2007,doi:10.1109/TPAMI.2007.1005
  15. Data Mining Approaches for Intrusion Detection Wenke Lee Salvatore J. Stolf Computer Science DepartmentColumbia University500 West 120th Street,New York,NY 10027
  16. Biometric Data Mining Applied to On-line Recognition Systems Jose Alberto Hernandez-Aguilar¹,Crispin Zavala¹, Ocotlan Díaz¹,Gennadiy Burlak², Alberto Ochoa³ and Julio Cesar Ponce4 ¹FCAeI-UAEM.
  17. EAR BIOMETRICS Hanna-Kaisa Lammi Lappeenranta University of Technology, Department of Information Technology, Laboratory of Information Processing,P.O. BOX 20,53851

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Shweta Shirpurkar, Dr. R. A. Ingolikar, " Person Identification using Data Mining of Facial Features Extraction , IInternational 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.