M. Chandran1
, B. Vinothramkumar2
Section:Research Paper, Product Type: Journal Paper
Volume-06 ,
Issue-08 , Page no. 114-124, Oct-2018
CrossRef-DOI:
https://doi.org/10.26438/ijcse/v6si8.114124
Online published on Oct 31, 2018
Copyright © M. Chandran, B. Vinothramkumar . 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: M. Chandran, B. Vinothramkumar, “Crime Intelligent Security Control Robot Investigation System,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.08, pp.114-124, 2018.
MLA Style Citation: M. Chandran, B. Vinothramkumar "Crime Intelligent Security Control Robot Investigation System." International Journal of Computer Sciences and Engineering 06.08 (2018): 114-124.
APA Style Citation: M. Chandran, B. Vinothramkumar, (2018). Crime Intelligent Security Control Robot Investigation System. International Journal of Computer Sciences and Engineering, 06(08), 114-124.
BibTex Style Citation:
@article{Chandran_2018,
author = {M. Chandran, B. Vinothramkumar},
title = {Crime Intelligent Security Control Robot Investigation System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {06},
Issue = {08},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {114-124},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=486},
doi = {https://doi.org/10.26438/ijcse/v6i8.114124}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.114124}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=486
TI - Crime Intelligent Security Control Robot Investigation System
T2 - International Journal of Computer Sciences and Engineering
AU - M. Chandran, B. Vinothramkumar
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 114-124
IS - 08
VL - 06
SN - 2347-2693
ER -
This researching Fingerprint based identification is one of the most mature & proven technique compared to the biometric technique. Fingerprints are classified as rolled, plain & latent fingerprints. However, even today, a fully automated latent fingerprint matching system has not been developed. However, even today, a fully automated latent fingerprint matching system has not been developed. Matching latent fingerprints over rolled or plain fingerprints is difficult task. The reason behind this is nothing but presence of noise and non-linear distortion in latent prints. Matching latent fingerprints over rolled or plain fingerprints is difficult task. An CIESs should be designed as a criminal investigation decision support system (CIDSS), a reasoning process based on production rules. we using image processing tool box for identify the criminals finger print ,If one decides to use only one year of crime data for detailed analysis then an analyst must spend 1.5 million minutes. As Per Regional Crime Analysis Program (RECAP), If one decides to use crime data for detailed analysis then an analyst.
We also implemented a Pass Matrix prototype on Android and carried out real user we identify the criminals within short period using finger print scanner, If we found new finger print, we will add the finger print register immediately as well as matching finger print to some criminal, This method is used to identify the vehicles easily
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