• Ramya.M
• Murari.K
• Vetriselvam.K
• Chandrasekhar.P.V

A modernized application aims to improve the efficiency of identifying criminals using hand-drawn face sketches. The platform allows users to upload hand-drawn features, converting them into a component set. The machine learning algorithm learns from the sketches and database to suggest relatable facial features, reducing time and increasing efficiency. This approach will make it easier for law enforcement to identify suspects. During the past there were several techniques been proposed to convert hand-drawn face sketches and use them to automatically identify and recognize the suspect from the police database, but these techniques could not provide the desired precise results. Application to create a composite face sketches were even introduced which too had various limitations like limited facial features kit, cartoonistic feel to the created suspect face which made it much harder to use these applications and get the desired results and efficiency. The above applications and needs motivated us into thinking of creating an application which would not just provide a set of individual features like eyes, ears, mouth, etc

JavaFX, Maven, ImageNet, API (Application Programming Interface), Gradle, Windows Implementation Gradle, AWS (Amazon Web Service)

"FORENSIC FACE CONSTRUCTION AND RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.d25-d36, February-2024, Available :http://www.jetir.org/papers/JETIR2402304.pdf

"FORENSIC FACE CONSTRUCTION AND RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppd25-d36, February-2024, Available at : http://www.jetir.org/papers/JETIR2402304.pdf