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Face Profiler for Face Detection and Recognition

Vivek Kumar Mishra1 , Ravindra Gupta2 , Ashvini Chaturvedi3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1117-1120, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.11171120

Online published on May 31, 2019

Copyright © Vivek Kumar Mishra, Ravindra Gupta, Ashvini Chaturvedi . 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.

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IEEE Style Citation: Vivek Kumar Mishra, Ravindra Gupta, Ashvini Chaturvedi, “Face Profiler for Face Detection and Recognition,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1117-1120, 2019.

MLA Style Citation: Vivek Kumar Mishra, Ravindra Gupta, Ashvini Chaturvedi "Face Profiler for Face Detection and Recognition." International Journal of Computer Sciences and Engineering 7.5 (2019): 1117-1120.

APA Style Citation: Vivek Kumar Mishra, Ravindra Gupta, Ashvini Chaturvedi, (2019). Face Profiler for Face Detection and Recognition. International Journal of Computer Sciences and Engineering, 7(5), 1117-1120.

BibTex Style Citation:
@article{Mishra_2019,
author = {Vivek Kumar Mishra, Ravindra Gupta, Ashvini Chaturvedi},
title = {Face Profiler for Face Detection and Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1117-1120},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4371},
doi = {https://doi.org/10.26438/ijcse/v7i5.11171120}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.11171120}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4371
TI - Face Profiler for Face Detection and Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - Vivek Kumar Mishra, Ravindra Gupta, Ashvini Chaturvedi
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1117-1120
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Viola Jones introduced an efficient method to detect the face rapidly within an image. There are different calculations and strategies utilized for face location; here Viola Jones algorithm is utilized to for face recognition in a picture. This algorithm is accustomed to recognizing and finding the human face independent of its size, circumstance and environment. The face discovery is a strategy that distinguishes the human face and disregarding whatever else, similar to trees, bodies and structures. This algorithm is utilized to discover a programmed human face structure dataset. In this paper we implement Viola Jones algorithm to detect the face, nose, mouth and eye. This paper for the most part tends to the structure of facial acknowledgment programming which falls into a huge gathering of advancements known as biometrics. It has been a standout amongst the most fascinating and significant research fields.

Key-Words / Index Term

Viola-Jones, face detection, Haar feature, Adaboost, Integral Image

References

[1]. Muller, N., Magaia, L. and Herbst B.M. Singular value decomposition, eigenfaces, and 3D reconstructions. SIAM Review, Vol. 46 Issue 3, pp. 518–545. Dec. 2004.
[2]. Bradski, G. Computer vision face tracking for use in a perceptual user interface. Intel Technology Journal, 2nd Quarter, 1998.
[3]. Viola, Jones: Robust Real-time Object Detection, IJCV 2001 See pages 1, 3.
[4]. "Viola-Jones` face detection claims 180k features" Retrieved 2017-06-27.
[5]. R.Szeliski, Computer Vision, algorithms and applications, Springer
[6]. Viola, Jones: Robust Real-time Object Detection, IJCV 2001 See page 11.
[7]. Face Detection and Tracking using the KLT algorithm
[8]. Tej Pal Singh, “Face Recognition by using Feed Forward Back Propagation Neural Network”, International Journal of Innovative Research in Technology & Science, vol.1, no.1,
[9]. N.Revathy, T.Guhan, “Face recognition system using back propagation artificial neural networks”, International Journal of Advanced Engineering Technology, vol.3, no. 1, 2012.
[10]. H.Schneiderman and T. Kanade,“A statistical method for 3D object detection applied to faces and cars,” IEEE conference on Computer vision and pattern recognition, 13-15 June 2000, Hilton Head Island, pp. 746–751.
[11]. Ling-Zhi Liao, Si-Wei Luo, and Mei Tian “Whitened faces Recognition With PCA and ICA” IEEE Signal Processing Letters, vol. 14, no. 12, pp1008-1011, Dec. 2007.
[12]. Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001.
[13]. Kumaran U, Automated Real-Time Face Recognition and Tagging, IJSRCSEIT Volume 4 Issue 6 ISSN : 2456-3307,2018
[14]. Numitha M N1, Taha Noorain1, Face Recognition and IoT Based Smart Lock Access System, IJSRCSEIT | Volume 4 | Issue 6 | ISSN : 2456-3307,2018