Heterogeneous Sketch-Face Photo Recognition in Forensic Science Laboratories

International Journal of Electronics and Communication Engineering

© 2024 by SSRG - IJECE Journal

Volume 11 Issue 8

Year of Publication : 2024

Authors : Devendra A. Itole, M. P.Sardey, Milind P. Gajare

10.14445/23488549/IJECE-V11I8P125

How to Cite?

Devendra A. Itole, M. P.Sardey, Milind P. Gajare, "Heterogeneous Sketch-Face Photo Recognition in Forensic Science Laboratories," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 8, pp. 260-268, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I8P125

Abstract:

This research presents a pioneering framework, termed X-Bridge, aimed at automating the identification of diverse faces through facial sketches. The significance of this framework lies in its potential applications in security and surveillance domains. The study advances the field by a. Conducting an in-depth analysis of conventional neural network architectures utilized for image classification, particularly focusing on their effectiveness in facial recognition tasks. b. Investigating the latest parameters essential for accurate facial recognition and their integration into various neural network structures to enhance performance. c. Assessing potential cross-modal connections that could facilitate more robust facial recognition systems.d. Introducing a novel Generative Adversarial Network (GAN)-based strategy, X-Bridge, specifically tailored to surpass existing standards on a meticulously curated dataset dedicated to facial recognition. Through these endeavors, the XBridge framework exceeds current benchmarks, demonstrating its efficacy in automating facial recognition tasks. This research contributes to the advancement of automated facial recognition technology, offering promising implications for security and surveillance applications.

Keywords:

Cross-modal bridge, Heterogeneous face identification, Image-to-sketch conversion, Machine learning, Artificial neural networks, Categorization, Validation, Identifying.

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