Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
FaceTrace is a digital forensic application designed to assist law enforcement in constructing and identifying suspect faces when photographic evidence is unavailable. The system features a user-friendly interface built with JavaFX, allowing users to create composite sketches by selecting and arranging facial components. Secure OTP-based authentication ensures only authorized access, while SQLite handles efficient data storage. A deep learning-based facial recognition module enables accurate matching of the constructed sketches with existing image records, making the identification process faster and more reliable. FaceTrace enhances traditional sketch-based investigations through automation, accuracy, and ease of use.
Keywords:
Forensic Face Sketch, Face Sketch Construction, Face Recognition, Criminal Identification, Deep Learning, Machine Locking, Two Step Verification.
Cite Article:
"FaceTrace Framework: A Secure Composite Sketch-Based Face Recognition Tool", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a528-a532, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506059.pdf
Downloads:
000441
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator