Open Access   Article Go Back

Annotated Database Construction Framework for Partially Occluded Face Recognition

A. Kumar1 , P. Shanmugavadivu2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-04 , Page no. 274-277, May-2018

Online published on May 31, 2018

Copyright © A. Kumar, P. Shanmugavadivu . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: A. Kumar, P. Shanmugavadivu, “Annotated Database Construction Framework for Partially Occluded Face Recognition,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.04, pp.274-277, 2018.

MLA Style Citation: A. Kumar, P. Shanmugavadivu "Annotated Database Construction Framework for Partially Occluded Face Recognition." International Journal of Computer Sciences and Engineering 06.04 (2018): 274-277.

APA Style Citation: A. Kumar, P. Shanmugavadivu, (2018). Annotated Database Construction Framework for Partially Occluded Face Recognition. International Journal of Computer Sciences and Engineering, 06(04), 274-277.

BibTex Style Citation:
@article{Kumar_2018,
author = {A. Kumar, P. Shanmugavadivu},
title = {Annotated Database Construction Framework for Partially Occluded Face Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {06},
Issue = {04},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {274-277},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=396},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=396
TI - Annotated Database Construction Framework for Partially Occluded Face Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - A. Kumar, P. Shanmugavadivu
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 274-277
IS - 04
VL - 06
SN - 2347-2693
ER -

           

Abstract

The need of face recognition exponentially progresses due to its applications in law and enforcement, commercial to security systems. The existing face recognition systems efficiently accomplish this task in the constrained environment. However, implementation of face recognition system in unconstrained environment still remains as a challenge. There major issues in unconstrained environment are facial expression, illumination and partial occlusion. The collection and collation of enormous individuals’ data such as profile images of employee of an organization or citizens of a province for the creation of public dataset itself is highly complex. This paper presents a generic framework to construct an annotated database, especially for the partially occluded face recognition system. This Annotated Database Construction Framework (ADCF) has the provision to store the profile images and the facial components, along with the respective feature vectors. This ADCF felicitates the logical calibration of database contents to address the need of Partially Occluded Face Recognition System, with reference to the probe image. Hence, ADCF offers better scope for the researcher to precisely validate the authenticity of any face recognition system even with occlusion.

Key-Words / Index Term

Annotated database; Partial occlusion, face recognition

References

[1] R. Elmasri and S. B. Navathe, “Database Systems Models, Languages, Design and Application Programming”, Pearson Publication, India, pp. 1-27, 2014.
[2] R. J. Muller, “Database Design for Smarties using UML for Data Modeling”, Morgan Kaufmann Publication, USA, pp. 55-73, 2000.
[3] M. Morrison and J. Morrison, “Database Driven Web Sites”, Course publication, Canada, pp. 1-14, 2000.
[4] A. Silberschatz, H. F. Korth and S. Sudarshan, “Database System Concepts”, McGraw Hill Publication, Singapore, pp. 201-261, 2016. ISBN: 007-124476X.
[5] R. Elmasri and S. B. Navathe, “Fundamentals of Database Systems”, Addison-Wesley Pearson Publication, Boston, pp. 516-528, 2011. ISBN 13: 978-0-136-08620-8.
[6] P. Shanmugavadivu and A. Kumar, “Rapid Face Detection and Annotation with Loosely Face Geometry”, In the Proceedings of the 2016 IEEE 2nd International Conference on Contemporary Computing and Informatics (IC3I), Noida, India, pp.594-597, 2016.
[7] P. Shanmugavadivu and A. Kumar, “Human skin detection in digital images using multi colour scheme system”, In the Proceedings of the IEEE 2017 Fourth International Conference on Image Information Processing (ICIIP), Shimal, India, pp.1-6, 2017.
[8] A. Kumar and P. Shanmugavadivu, “Partially Occluded Face Recognition using Dynamic Time Wrapping”, unpublished.