Criminal Face Construction and Criminal Face Recognition

Project Code :TCMAPY1836

Objective

The primary objective of this project is to develop an integrated system that enhances forensic investigations through two key modules: Criminal Face Construction and Criminal Face Recognition. The first module aims to provide a user-friendly drag-and-drop interface for constructing criminal face sketches, enabling forensic experts and law enforcement officers to easily create accurate representations of suspects. The second module focuses on implementing the LBPH (Local Binary Patterns Histograms) algorithm for criminal face recognition, allowing for efficient and reliable identification by comparing facial features from sketches or images against a database of known criminals. The overall goal is to improve the efficiency and accuracy of criminal identification in forensic investigations, reducing the reliance on time-consuming and error-prone traditional methods. Additionally, the project seeks to ensure the system’s high usability and accuracy, making it practical for real-world applications by optimizing both the recognition algorithm and the user interface.

Abstract

The "Recognition Use Forensic Face Sketch Construction and Recognition" project aims to advance forensic investigations through two interconnected modules: Criminal Face Construction and Criminal Face Recognition. The first module allows users to construct criminal face sketches using a drag-and-drop interface, enabling forensic experts to easily assemble facial features and generate suspect profiles. The second module focuses on identifying criminal faces by utilizing the Local Binary Patterns Histograms (LBPH) algorithm for face recognition. LBPH analyzes facial features to match and recognize suspects from a database of known individuals, providing a robust tool for law enforcement agencies to expedite criminal identification. By combining user-friendly interface design with powerful image processing techniques and machine learning algorithms, this project contributes to more efficient and reliable facial recognition systems in forensic applications.

Keywords:
Forensic Face Sketch, Criminal Identification, Face Recognition, LBPH, Local Binary Patterns, Image Processing, Machine Learning, Criminal Investigation, Facial Feature Construction, Forensic Technology.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.