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Parallelizing Image Processing Algorithms for Face Recognition on Multicore Platforms

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dc.contributor.author Mia, Kausar
dc.contributor.author Assaduzzaman, Mr. Md
dc.contributor.author Islam, Tariqul
dc.contributor.author Saha, Arnab
dc.contributor.author Akhund, Tajim Md. Niamat Ullah
dc.contributor.author Shaha, Sonjoy Prosad
dc.contributor.author Razzak, Md. Abdur
dc.contributor.author Dhar, Angkur
dc.date.accessioned 2024-03-12T03:14:29Z
dc.date.available 2024-03-12T03:14:29Z
dc.date.issued 2022-11-11
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11678
dc.description.abstract A good face detection system should have the ability to identify objects with varying degrees of illumination and orientation. It should also be able to respond to all the possible variations in the image. The image of the face depends on the relative camera face pose such as the nose and one eye. The appearance of a face is directly influenced by the facial expression of a person and partially occluded by objects around it. One of the most important and necessary conditions for face recognition is to exclude the background of reliable face classification techniques. However, the face can appear in complex backgrounds and different positions. The face recognition system can mistake some areas of the background for faces. This paper solves some face recognition problems including segmenting, extracting and identifying facial features that are thought to face from the background. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Algorithms en_US
dc.subject Image processing en_US
dc.subject Picture processing en_US
dc.title Parallelizing Image Processing Algorithms for Face Recognition on Multicore Platforms en_US
dc.type Article en_US


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