UGC Approved Journal no 63975(19)

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Published in:

Volume 8 Issue 12
December-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2112098


Registration ID:
317629

Page Number

a811-a820

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Title

ONLINE CRIMINAL IDENTIFICATION USING ML & FACE RECOGNITION TECHNIQUES

Abstract

In current days identifying criminals is becoming very complicated task for the cybercrime people because it is having a lot of factors need to be analyzed.Criminal record generally contains personal information about particular person along with photograph. To identify any criminal we need some identification regarding person, which are given by eyewitnesses. In most cases the quality and resolution of the recorded image-segments is poor and hard to identify a face. To overcome this sort of problem we are developing many software’s by using recent trends to identify the criminals but no method is accurate in identifying the criminal information accurately. Some of the best methods are iris, eyes, biometric, thumb, face and lot more. One of the applications is face identification. The face is our primary focus of attention in social inter course playing a major role in conveying identity and emotion. Although the ability to infer intelligence or character from facial appearance is suspect, the human ability to recognize faces is remarkable. The operator first logs into the system by entering username and password. Then depending on the work allotted he has to select the screens from main menu screen. There are mainly three important function which he can do they are adding details, clipping image and finally construction of the face by using the eyewitness. The face that is finally formed is one the who has done the crime.

Key Words

Criminal Information, Facial Identity, Facial Emotion, Clipping Images, Cyber Crime.

Cite This Article

"ONLINE CRIMINAL IDENTIFICATION USING ML & FACE RECOGNITION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.a811-a820, December-2021, Available :http://www.jetir.org/papers/JETIR2112098.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ONLINE CRIMINAL IDENTIFICATION USING ML & FACE RECOGNITION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppa811-a820, December-2021, Available at : http://www.jetir.org/papers/JETIR2112098.pdf

Publication Details

Published Paper ID: JETIR2112098
Registration ID: 317629
Published In: Volume 8 | Issue 12 | Year December-2021
DOI (Digital Object Identifier):
Page No: a811-a820
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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