International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Crime Prediction for Forensic Analysis-fingerprint Recognition System

Author(s) K Snehalatha, P Iman Sana, K Madhurya, Dr. P Dhivya, A Maheswari, C Kajal
Country India
Abstract Fingerprint recognition has been a cornerstone in forensic science for over a century. Its unique capability to identify individuals based on their unique fingerprint patterns makes it invaluable in criminal investigations. This project comes under Artificial Intelligence where we use deep learning algorithm called convolutional neural networks (CNN)and Keras, Open CV. CNN is mainly used for image recognition and training due to its ability to recognise patterns in images. The existing methods of this project are Live fingerprint scanning, Forensic fingerprint database, Automated fingerprint analysis, etc. Drawbacks of existing methods are human error, false matches, Quality of prints, latent prints, etc. Proposed methods that are developed by this project: Deep learning Based system, Cloud used to store the data. By the given proposed methods we can improve the accuracy rate, data security with the help of cloud.
Keywords Fingerprint Recognition, Latent Fingerprints, Image Processing, Feature Extraction, Crime Prediction, Forensic Analysis, Convolutional Neural Networks (CNN), Pattern Recognition, Image Processing, Criminal Identification, Proactive Crime Prevention
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-22
Cite This Crime Prediction for Forensic Analysis-fingerprint Recognition System - K Snehalatha, P Iman Sana, K Madhurya, Dr. P Dhivya, A Maheswari, C Kajal - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31360
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.31360
Short DOI https://doi.org/
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