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The face of a person is a biometric characteristic that can be used in computer-based automatic security systems for that person’s identification or authentication. The main difficulty in face recognition by a machine is correctly matching the input human face with the face image of the same person already stored in the system’s face-database.
Neuroscientists, psychologists, and computer scientists are all pursuing research in face recognition development and advancement. It has numerous uses, most of which are in the security sector. With so many applications in this fascinating field, there are difficulties as well as benefits and drawbacks to the systems.
Any face recognition system’s fundamental input is a subject’s face image. Face images can be visual, thermal, sketched, or fused, among other types. Some common issues plague face recognition systems. Let’s take the example of visual images that perform poorly under different lighting conditions, such as low lighting, poses, aging, disguise, etc.
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