Revolutionizing Sales with Phone Systems: Design and Implementation Best Practices

Author(s)	Belayet Hossain Masum, Xu Tao, Firoz Hasan, Homayra Akter Sumi
Country	Pakistan
Abstract	The technique of classifying a face as recognized or unknown in computer vision is known as face recognition. The procedure follows a pipeline that includes steps for data collection, detection, pre-processing, and recognition. This research focuses on with the assumption that photos have already been processed at the end of the pipeline pre-processed and gathered Face recognition software in the past has relied on the full face. Their algorithms take a face picture as input. We propose a new method in which the individual facial segments, such as the left, are sent into the recognition algorithm. The four components that make up the face are the left eye, the right eye, the nose, and the mouth. After that, the output of each algorithm is labelled, and it is categorized as belonging to right feature class. According to the findings of our research, the granularity of information gathered for each subdivision class has the potential to be utilized in order to create a higher accuracy rate than can be achieved by using the complete face technique.
Keywords	Face Recognition; Algorithm; Face detection; Distribution
Field	Computer Applications
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-12-25
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.9245

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International Journal For Multidisciplinary Research