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Development of Improved Pose Independent Face Recognition Algorithm from Video

Ashwini K. Thokne, Nitin. N. Mandaogade

Abstract


In face detection, facial recognition is utilized as a biometric approach. Facial recognition is used to verify or identify a face in the multi-media pictures. Face recognition has become more crucial as society has become more technologically savvy. Face detection and recognition has spread around the globe. To the need for security, including authorization for national security or safety, and other critical factors. Situations. There are a variety of face recognition algorithms. The purpose of this study is to compare and contrast classified using Haar Cascade and Local Binary Pattern, two face-recognition methods. Consequently, Local Binary Pattern is more accurate, but Haar Cascade takes longer to run. Local binary pattern alone isn't enough.

 

Keywords: Face detection, local binary pattern, HAAR cascade


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References


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