Preliminary Findings: Use of CNN Powered Criminal Identification System

Sohan, Md. Faruk Abdullah Al; Anannya, Nusrat Jahan; Nahar, Afroza; Kalpoma, Kazi A

doi:10.1109/iceccme55909.2022.9988423

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…This is achieved by integrating a deep face generator into the MIA gradient descent iteration loop.The authors validate the ability of MIA to generate natural face image clones for a target individual from a CNNbased face recognition system, operating under the semi-white-box scenario.The authors assess the impact of deep generative models on MIA, particularly under the conditions of the semi-white-box scenario. In [7], The aforementioned methodology provides a comprehensive overview of the approach taken in this study by the Authors for utilizing CNNs in face detection for criminal identification. This system exhibits potential in enhancing public safety, particularly in areas with heightened crime activity.…”

Section: Methodologiesmentioning

confidence: 99%

Facial Recognition Technology for Identifying Missing Individuals and Wanted Criminals

et al. 2024

IJFMR

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Fast and accurate user identification and verification is always desirable. Face recognition, which is machine recognition of a person's face by analyzing patterns on facial features, is becoming important for security and validation. Less interaction from users contributes high enrolment as well as easily applicable for current technology further adds its importance. In this regard, we propose a Multi-tasked Convolutional Neural Network (CNN) based face recognition technique previously done with eigenfaces but CNN has better accuracy. This project proposes to use this technology for identifying criminals who are on the run from their previous records. An NCRB (National Crime Records Bureau) report shows that 70% of crimes are repeatedly committed by the same criminals. These criminals can be identified by the face recognition from an image or video frame which is captured by the cameras which are installed in various locations and it can also be used for identifying missing children. This system will decrease crimes and ensure security in our society.

show abstract

Section: Methodologiesmentioning

confidence: 99%

Facial Recognition Technology for Identifying Missing Individuals and Wanted Criminals

et al. 2024

IJFMR

View full text Add to dashboard Cite

show abstract

Preliminary Findings: Use of CNN Powered Criminal Identification System

Cited by 1 publication

References 22 publications

Facial Recognition Technology for Identifying Missing Individuals and Wanted Criminals

Facial Recognition Technology for Identifying Missing Individuals and Wanted Criminals

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