• SRIDHAR C
• Mrs. V. BAKYALAKSHMI

Abstarct: Crime histories often include a person's photo along with all relevant biographical and criminal details. Eyewitness identification of some kind is necessary in order to identify the criminal. In most circumstances, the captured picture parts' resolution or/and quality is inadequate and makes it difficult to identify the face. There are many other methods to be recognized, including through DNA, the eyes, the finger prints, etc. Face identification is one method. In our suggested process, a database is constructed by saving the offenders' full and sliced photos together with all of their personal and criminal information. Then, a new database is made in an effort to locate the offender; Eyewitnesses will attempt to construct the criminal face using the slices contained in the database with the assistance of a professional. Next, using Amazon Recognition, it makes a prediction about the criminal by comparing the newly formed image with the database; if the result is 70–80%, the criminal status of that face is determined.

"REAL TIME CRIMINAL FACE IDENTIFICATION SYSTEM USING MACHINE LEARNING.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f308-f316, March-2023, Available :http://www.jetir.org/papers/JETIR2303538.pdf

"REAL TIME CRIMINAL FACE IDENTIFICATION SYSTEM USING MACHINE LEARNING.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf308-f316, March-2023, Available at : http://www.jetir.org/papers/JETIR2303538.pdf