Abstract
Face recognition is a growing-up branch of pattern recognition in the context of image and vision. Conferences have arisen and brand new technologies have been coming to light providing more and more accurate recognition rates. But what is face recognition? The problem statement could be formulated this way: “Given still or video images of a scene, identify or verify one or more persons in the scene using a stored database of faces” [1]. Face recognition branch is core inasmuch the applications involving recognition algorithms for human face are aimed at different applications such as biometrics, authentication, identification of suspects. This chapter offers an overview of what are similarity and similarity measures.
Keywords: Similarity, similarity measure, metric, similarity function, face recognition.
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