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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM38813
Volume:
8 |
11 |
Nov 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
A crucial component of forensic science is facial representation, which makes it easier to identify criminals from eyewitness accounts. This study examines a technologically advanced method of facial matching and forensic sketching that combines deep learning and conventional image processing techniques. To improve facial sketch matching against a criminal database, the system uses neural networks, a drag-and-drop JavaFx interface, and sophisticated feature extraction. An analysis of this method shows encouraging accuracy and efficiency results, suggesting that it may be able to overcome the limits of conventional forensic drawing
KEYWORDS
Publication Date
11/18/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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