In Your Face: Person Identification Through Ratios of Distances Between Facial Features
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These days identification of a person is an integral part of many computer-based solutions. It is a key characteristic for access control, customized services, and a proof of identity. Over the last couple of decades, many new techniques were introduced for how to identify human faces. The purpose of this paper is to introduce yet another innovative approach for face recognition. The human face consists of multiple features that when considered together produces a unique signature that identifies a single person. Building upon this premise, we are studying the identification of faces by producing ratios from the distances between the different features on the face and their locations in an explainable algorithm with the possibility of future inclusion of multiple spectrum and 3D images for data processing and analysis.
KeywordsPerson identification Human face recognition Biometrics Facial features HMI
This study was supported by the Scientific Research from Technical University of Technology Sydney, School of Electrical and Data Engineering and DIVE IN AI.
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