The aim of this project Crime Detection Through Facial Features is “Identification of a person in a crime scene by witness descriptions using Image Processing Techniques”.
Video fitting, for image reconstruction and person identification, is a well-known technique popularly used in scientific, industrial, medical and forensic applications. There has been a variety of “Application Software” based on Video fitting developed by a number of people.
Biometrics based personal identification provides a promising solution for this kind of problems. Biometrics features include face, speech, handwriting and finger prints etc. Face identification has the advantage of being a passive, non-invasive system for personal identification.
The work involved in this project is:
- Obtaining the human face images from different video sources such as CCD cameras, Cam coders, Digital cameras, Scanners, stored images etc.
- These images are then digitiz and stored in a memory for further processing.
- Then each video frame is segment into different parts. For example, the given video frame containing a human face is slice into three parts of all the images are then store in a separate databank. Similar parts of different images are store in their respective files.
Eventually, the project titled FACE RECOGNITION USING IMAGE CROPPING is develop to design a system that supports to find the criminals in less time. A user with valid user_id and password are only allow to access the develop system. In this project we store the details of the criminals in database and retrieve them when required.
Previously it was difficult to find the criminal manually through files. In the propose system we can maintain the details of criminals of all regions in a database so that time required for finding the criminals is reduce.
Diagrams and Table Needed for this Project are:
- Data Flow
- ER Diagram
- Schema Diagram
- Use Case Diagram
- Gantt Chart
- Test Case
