CONTENT-BASED DIRECT ACCESS METHODS FOR FACE RECOGNITION BIOMETRIC SYSTEM: STATE OF THE ART

As a biometric component, the human face has a unique information and characteristics that are invariant, so this allows the system to do a face search by utilizing the original information that is attached to the face that is unique internal characteristics of the extraction face, no longer use alphanumeric keyword to search-based face. In the conventional method, the process of searching is dominated by the use of external attributes as keywords and as a basis for classification. The use of visual attributes as a keyword is the latest method in this field. In this research a short explanation about various face recognition methods and application are given. A state of the art of content-based direct access methods for face detection is also explored. A future work on these research areas are given as a guide for other researcher to make an advanced research in the future.

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