FaceNet-Driven Forensic Face Sketch Construction and Database Matching for Criminal Identification

Shilpa R; Ganesh K; Manju A R; Nagashree Uday Bhat; Nanditha Karuna

doi:10.55524/ijircst.2025.13.6.12

Abstract

The steady rise in criminal activity has placed law enforcement agencies under increasing pressure to speed up their investigative processes and deliver justice more efficiently. In many cases, identifying suspects still depends on traditional sketching methods, which require the expertise of trained forensic artists. However, because such specialists are few in number, this method often becomes slow and difficult to manage. To overcome these limitations, this paper introduces an independent system designed to help users create suspect sketches quickly, without needing any professional artistic skills. The platform provides a simple drag-and-drop workspace where facial features can be adjusted and assembled to form accurate representations. Once a sketch is created, deep learning techniques and cloud-based tools automatically compare it with existing law enforcement databases. This greatly enhances both the speed and reliability of suspect identification. By reducing the dependency on forensic artists and streamlining the sketch-creation process, the proposed approach aims to support faster and more effective criminal investigations.

Keywords

Forensics, Sketch, Recognition, Matching, FaceNet, MTCNN, Embeddings, Similarity, Deep Learning, Detection, criminal, database, AI, preprocessing.

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Cites this article as

S. R, G. K. , M. A. R. , N. U. B. , N. Karuna, "FaceNet-Driven Forensic Face Sketch Construction and Database Matching for Criminal Identification", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-13, Issue-6, Page No-111-120, 2025. Available from: https://doi.org/10.55524/ijircst.2025.13.6.12

Corresponding Author

Shilpa R

Assistant Professor, Computer Science and Engineering, Shri Dharmasthala Manjunatheshwara Institute of Technology, Ujire, India

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