Volume- 12
Issue- 3
Year- 2024
DOI: 10.55524/ijircst.2024.12.3.3 | DOI URL: https://doi.org/10.55524/ijircst.2024.12.3.3 Crossref
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
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Dr S. A. Talekar , Shravani A. Lajurkar, Divya S. Patil, Rutika A. Benke, Pranjal A. Kunde
In this cutting edge, the common wrong doing rate is expanding day-by-day and to manage up with this the criminal divisions as well ought to discover ways in which would speed up the by and large preparation and offer assistance in bringing one to justice. In response to rising crime rates, law enforcement agencies are turning to advanced algorithms capable of matching freehand sketches with images in databases. These algorithms, utilizing sophisticated feature extraction techniques and deep learning models, significantly enhance identification accuracy. By leveraging Sketch based image retrieval technology, investigations are expedited, leading to quicker suspect apprehensions and resolution of criminal cases. This results in improved public safety and justice outcomes, as well as more efficient law enforcement practices overall.
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Department of Information Technology, Savitribai Phule Pune University(SPPU), Pune, Maharashtra India
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