An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.

Xehetasun bibliografikoak
Egile nagusia:	Anik, Md. Kamrul Islam
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2016
Gaiak:	Computer science and engineering Face detection
Sarrera elektronikoa:	http://hdl.handle.net/10361/4663

id	10361-4663
record_format	dspace
spelling	10361-46632022-01-26T10:23:21Z An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system Anik, Md. Kamrul Islam Computer science and engineering Face detection This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. The purpose of this project is to make an efficient security system for university safety measurement which can also be used to calculate the office hours of Student Tutors by face detection and recognition. By using surveillance cameras, attached at all the entrance of university main buildings, the system can detect human faces and then it can recognize people. First, the system captures the image of a person who enters into the building and then detects the face from the image. Then the recognition system matches that image with the given database of images with valid information. After matching that image if the system recognize that face it gives a green signal to allow that person. Otherwise, if the system cannot recognize that face it gives an alert signal to block that person as an intruder. Also, this system calculates the office hours of the Student Tutors. By using face recognition the system takes the starting time and ending time of the Student Tutors individually and then gives the result as output by calculating the time duration. 2016-01-03T15:16:56Z 2016-01-03T15:16:56Z 2015-12 Thesis ID 11301014 http://hdl.handle.net/10361/4663 en application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Computer science and engineering Face detection
spellingShingle	Computer science and engineering Face detection Anik, Md. Kamrul Islam An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
description	This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
format	Thesis
author	Anik, Md. Kamrul Islam
author_facet	Anik, Md. Kamrul Islam
author_sort	Anik, Md. Kamrul Islam
title	An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
title_short	An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
title_full	An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
title_fullStr	An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
title_full_unstemmed	An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
title_sort	efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
publisher	BRAC University
publishDate	2016
url	http://hdl.handle.net/10361/4663
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An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system

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