Security System

dc.contributor.author	Haque, Md. Mohaiminul
dc.date.accessioned	2019-09-11T10:37:59Z
dc.date.available	2019-09-11T10:37:59Z
dc.date.issued	2019-05-06
dc.identifier.uri	http://hdl.handle.net/123456789/3393
dc.description.abstract	Identifying an individual with a picture has been popularized through the mass media and in scientific research. However, it is less sturdy to fingerprint or membrane scanning. This report describes the face detection and recognition mini-project undertaken for the seeing and autonomy module at Creative IT Limited. It reports the technologies out there within the OpenComputer-Vision (OpenCV) library and methodology to implement them mistreatment Python. For face detection, Haar-Cascades were used and for face recognition OpenCV, Cascade classifiers and native binary pattern histograms were used. The methodology is delineating together with flow charts for every stage of the system. Next, the results are shown together with plots and screen-shots followed by a discussion of encountered challenges.	en_US
dc.language.iso	en	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	Computer security	en_US
dc.subject	Database security	en_US
dc.title	Security System	en_US
dc.type	Other	en_US