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Implementation of Automated Criminal Face Detection System Using Facial Recognition Approach

V. Jebasheeli1 , R. Vadivel2

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-9 , Page no. 38-42, Sep-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i9.3842

Online published on Sep 30, 2020

Copyright © V. Jebasheeli, R. Vadivel . 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: V. Jebasheeli, R. Vadivel, “Implementation of Automated Criminal Face Detection System Using Facial Recognition Approach,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.9, pp.38-42, 2020.

MLA Style Citation: V. Jebasheeli, R. Vadivel "Implementation of Automated Criminal Face Detection System Using Facial Recognition Approach." International Journal of Computer Sciences and Engineering 8.9 (2020): 38-42.

APA Style Citation: V. Jebasheeli, R. Vadivel, (2020). Implementation of Automated Criminal Face Detection System Using Facial Recognition Approach. International Journal of Computer Sciences and Engineering, 8(9), 38-42.

BibTex Style Citation:
@article{Jebasheeli_2020,
author = {V. Jebasheeli, R. Vadivel},
title = {Implementation of Automated Criminal Face Detection System Using Facial Recognition Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2020},
volume = {8},
Issue = {9},
month = {9},
year = {2020},
issn = {2347-2693},
pages = {38-42},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5209},
doi = {https://doi.org/10.26438/ijcse/v8i9.3842}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i9.3842}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5209
TI - Implementation of Automated Criminal Face Detection System Using Facial Recognition Approach
T2 - International Journal of Computer Sciences and Engineering
AU - V. Jebasheeli, R. Vadivel
PY - 2020
DA - 2020/09/30
PB - IJCSE, Indore, INDIA
SP - 38-42
IS - 9
VL - 8
SN - 2347-2693
ER -

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Abstract

Criminal records usually contain personal information about a particular person and image. To identify any criminal, require an identity document in person, provided by eyewitnesses. In many cases the quality and resolution of parts of the recorded images is poor and difficult to detect. Identification can be done in many ways such as finger print, eyes, DNA etc. One of the programs is facial recognition. Although the ability to use intelligence or character in suspicious facial expressions, one`s ability to recognize faces is amazing. Criminal records usually contain personal information about a particular person and image. The identification of any criminal requires specific identification in relation to a particular person or persons, provided by eyewitnesses. Based on the information provided by eyewitnesses, this investigation will be conducted. In many cases the quality and resolution of parts of the recorded images is poor and difficult to detect. In this paper, it is divided into the performance of graphical images in three stages; low, medium and high level to process and analyze a given face. This paper demonstrates better results than the conventional methods associated with the face recognition process used in crime detection.

Key-Words / Index Term

Biometrics, Face recognition, Digitization, Preprocessing, Restoration, Compression

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