Face Recognition

International Journal of Sensor Networks and Data Communications is one of the top journals in Face recognition. It publishes the original research and reviews on applied research and applications of sensor networks. A large number of important applications depend on sensor networks interfacing with the real world. These applications include medical, military, manufacturing, transportation, safety and environmental planning systems. Face recognition is comparing the captured face to other faces that have been saved and stored in a database. The face recognition phase determines the match-likelihood of each face to a template element from a database. The face recognition algorithm yields one of a few potential results for each face candidate determined (1) not a face, (2) a face, but not in the database, and (3) a face and in the database. In face recognition, face is processed and matched bitwise with the underlying face image in the database. Any slight change in facial expression, e.g. smile, lip movement, will not match the face. OMICS International journals have over 15 million readers with strong editorial board which contains over 50,000+ editorial board members that ensure a rapid, quality and quick review process. International Journal of Sensor Networks and Data Communications is one of the top journals of OMICS group which contributes emerging research in the area of Sensor networks. As a scientific organization, the OMICS International carries the vision to present the authentic free-to-view scientific literature to the scientific community. Archived online transactions of OMICS Group provide the International scientific community with immediate and permanent access to individual papers.
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Last date updated on June, 2014

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