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Face Recognition Using Multi-Agent System

Wasim Shaikh1 , Hemant Shinde2 , Grishma Sharma3

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-4 , Page no. 55-58, Apr-2016

Online published on Apr 27, 2016

Copyright © Wasim Shaikh, Hemant Shinde , Grishma Sharma . 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: Wasim Shaikh, Hemant Shinde , Grishma Sharma, “Face Recognition Using Multi-Agent System,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.55-58, 2016.

MLA Style Citation: Wasim Shaikh, Hemant Shinde , Grishma Sharma "Face Recognition Using Multi-Agent System." International Journal of Computer Sciences and Engineering 4.4 (2016): 55-58.

APA Style Citation: Wasim Shaikh, Hemant Shinde , Grishma Sharma, (2016). Face Recognition Using Multi-Agent System. International Journal of Computer Sciences and Engineering, 4(4), 55-58.

BibTex Style Citation:
@article{Shaikh_2016,
author = {Wasim Shaikh, Hemant Shinde , Grishma Sharma},
title = {Face Recognition Using Multi-Agent System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {4},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {55-58},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=857},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=857
TI - Face Recognition Using Multi-Agent System
T2 - International Journal of Computer Sciences and Engineering
AU - Wasim Shaikh, Hemant Shinde , Grishma Sharma
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 55-58
IS - 4
VL - 4
SN - 2347-2693
ER -

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Abstract

Face Tracking and face recognition using Multiagent System that will help us to identify and then recognize the human face as an image provided to it.face recognition system is a computer application used to automatically identify or verify a person from a digital image from a video source. This is usually achieved through the comparison of selected facial features from the image and a facial database. Typically used in security systems and comparable to other biometrics like fingerprint or eye iris recognition systems, facial recognition software is based on the ability to recognize a face by measuring the various features of the face.

Key-Words / Index Term

MAS(Multi Agent System), JADE(Java Agent Dvelopment Environment), OpenCV(Open Source Computer Vision), ACL (Agent communication Language),Agent,Face Recognition,Face detection

References

[1] Yanfei Zhu, Qruqi, “Face Feature Extraction Based on Agents with Multi-camera System” International Journal of Information and Computer Science IJICS Volume 1, Issue 2, May 2012 PP. 34-38
[2] Cahit Gürel,, Prof. Dr. Abdulkadir Erden “FACE DETECTION ALGORTIHM WITH FACIAL FEATURE EXTRACTION FOR FACE RECOGNITION SYSTEM” The 20th Int. Conf. on Mechatronics and Machine Vision in Practice- M2ViP 2013 September 18-20, 2013, Ankara, Turkey
[3]Akram Qureshi and Ashok Kajla, "Intelligent Face Recognition", International Journal of Computer Sciences and Engineering, Volume-04, Issue-02, Page No (128-133), Feb -2016, E-ISSN: 2347-2693
[4] OpenCV, opencv.org/ ,15th March 2016
[5] Face Detection, www.researchgate.net/publication/272487406_FACIAL_FEATURE_DECTION_AND_RECOGNITION_FOR_VARYING_POSES, 1st March 2016
[6] Face Recognition, www.researchgate.net/publication/262875649_ Design_of_a_Face_Recognition_System ,29th February 2016
[7] MAS(Multi Agent System), www.masfoundations.org/, 19th February 2016