Criminal Face Sketch Construction and Identification System

In forensic science, traditional hand-drawn facial sketches remain a time-consuming and restrictive method, especially when integrating modern technology for suspect identification. This paper presents an innovative software solution that streamlines the process by enabling users to create composite images of suspects without relying on a forensic artist. Through an intuitive drag-and-drop interface, users can systematically assemble facial features to generate an accurate depiction of the suspect. Once completed, the system swiftly analyzes the composite image against an extensive police database. By harnessing advanced neural network algorithms and robust cloud computing, this approach ensures rapid and highly precise suspect identification.

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Publication Details

Journal
International Journal of Scientific Research in Science and Technology
Published
2025-03-27
DOI
https://doi.org/10.32628/ijsrst25122248
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Criminal Face Sketch Construction and Identification System

P. K. Gaikwad, Mohammad Tufail, Krishna Yadav, OM WAGHMARE et al.
International Journal of Scientific Research in Science and Technology
Face recognition and analysis
article

Criminal Face Sketch Construction and Identification System

P. K. Gaikwad, Mohammad Tufail, Krishna Yadav, OM WAGHMARE, Prof. Imteyaz Shahzad, Prof. Qudsiya Naaz, Jayesh Nanhe, Abhishek Itware
article en

Abstract

In forensic science, traditional hand-drawn facial sketches remain a time-consuming and restrictive method, especially when integrating modern technology for suspect identification. This paper presents an innovative software solution that streamlines the process by enabling users to create composite images of suspects without relying on a forensic artist. Through an intuitive drag-and-drop interface, users can systematically assemble facial features to generate an accurate depiction of the suspect. Once completed, the system swiftly analyzes the composite image against an extensive police database. By harnessing advanced neural network algorithms and robust cloud computing, this approach ensures rapid and highly precise suspect identification.

International Journal of Scientific Research in Science and TechnologyVol. 12(2)
Nagpur Institute of Technology (IN)
Openalex Percentile: Top 95%
Face recognition and analysis
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Criminal Face Sketch Construction and Identification System — P. K. Gaikwad, Mohammad Tufail, et al. · International Journal of Scientific Research in Science and Technology (2025) | TGRS Research Map | TGRS