Detection And Recognition Of Criminal Using Viola-Jones And Eigenface Detection Algorithm
Akshay Ashok
, Prashant Kumar , Saurabh Soaji
Face Recognition, Face Detection, OpenCV, Eigenface, Viola-Jones, Principal Component Analysis (PCA), HAAR’s algorithm, Haar cascade classifier, Android Studio
There is a huge increase in the number of criminals in India, this leads towards a great concern about the security issues in the country. Crime preventions and criminal identification are the primary issues before the police personnel since property and life protection are the basic concerns of the police but to combat the crime, the availability of police personnel is limited. So here we can take help from the people to catch criminals by using an android application that will have the facial image database of all criminals and then that images will be used to compare with the camera clicked images present in the user's phone with the help of face recognition system. whenever a match is found then the application will send an alert to the admin and send the location of the user, who will be contacted by the investigation team for further lead to the criminal.
"Detection And Recognition Of Criminal Using Viola-Jones And Eigenface Detection Algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 8, page no.206 - 210, August-2020, Available :https://ijsdr.org/papers/IJSDR2008022.pdf
Volume 5
Issue 8,
August-2020
Pages : 206 - 210
Paper Reg. ID: IJSDR_192328
Published Paper Id: IJSDR2008022
Downloads: 000347194
Research Area: Engineering
Country: Pune, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave