Face Recognition & Criminal Identification (FRCI)

dc.contributor.author	Najam Ul Islam, 01-235181-044
dc.contributor.author	Mohsin Khan, 01-235181-027
dc.date.accessioned	2023-08-16T07:49:06Z
dc.date.available	2023-08-16T07:49:06Z
dc.date.issued	2022
dc.identifier.uri	http://hdl.handle.net/123456789/15984
dc.description	Supervised by Ms. Zubaria Inayat	en_US
dc.description.abstract	Due to increasing number of theft crimes more and more people are concerned regarding their safety. We have seen huge trends of using safety cameras to ensure the safety and security. However, many times we’ve observed the culprits could not be caught even if the record/footages available and the authorities remain unable to identify the criminals. In cases when the criminals do get identified the process takes too much time which allows the culprits to flee the country. Face Recognition & Criminal Identification (FRCI) can be used to identify the credentials of the person in front of the camera in real-time. FRCI uses the Haar Cascade Classifier for face detection and Principal Component Analysis (PCA) for face recognition.	en_US
dc.language.iso	en	en_US
dc.publisher	Computer Sciences	en_US
dc.relation.ispartofseries	BS (IT);P-10482
dc.subject	Face Recognition	en_US
dc.subject	Criminal	en_US
dc.subject	Identification	en_US
dc.title	Face Recognition & Criminal Identification (FRCI)	en_US
dc.type	Project Reports	en_US