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Title: Content-based direct access methods for face recognition biometric system: State of the art
Authors: Iwan Pahendra, Benhard Sitohang and Saiful Akbar
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 2
Language: English
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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