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Real Time Face Detection and Recognition

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dc.contributor.author Shawon, Ashik Mahmud
dc.date.accessioned 2019-02-26T07:17:17Z
dc.date.available 2019-02-26T07:17:17Z
dc.date.issued 9/24/2018
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2948
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract Performing face detection in real time is a challenge as accuracy and efficiency both are highly considerable here. In real time face detection system has to face many difficulties as it is more difficult to extract useful features from a moving object. There are different types of method to detect and recognize human faces. In this thesis, I am trying to extract feature from face image at real time and proposed a model that can detect human faces and recognize them. First I use Haarcasecade classifier to classify and detect human faces then I use LBPH algorithm to extract feature from dynamic image and compare them with training data to recognize them. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00163
dc.subject Real time face detection and recognition en_US
dc.title Real Time Face Detection and Recognition en_US
dc.type Thesis en_US


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