Face Recognition

International Journal of Sensor Networks and Data Communications is one of the best indexed journals on Face recognition. The published papers reflect the current research in Sensor networks in the form of original research or systematic review or interesting surveys. All published articles of this journal are included in the indexing and abstracting coverage of Google Scholar, Journal Seek and Media finder. Face recognition applications that automatically identify an individual from captured images or Videos are everywhere and are used for applications such as surveillance, airport security, military enforcement, and edge detection. Face recognition algorithms analyse images, extract information such as the shape, size and position of the facial features (e.g., eyes, nose, mouth), and then use these extracted features to search a facial database to locate matching images. Face recognition is used in biometrics, often as a part of (or together with) a facial recognition system. It is also used in video surveillance, human computer interface and image database management. OMICS Group International is an amalgamation of Open Access distributions and overall worldwide science meetings and occasions. Articles published in International Journal of Sensor Networks and Data Communications represents a clear advance over previous studies and has the potential to generate exciting future research. Excellent review process is performed by the editorial board members and peer reviewers through the online system like Editorial Manager System. OMICS presents user friendly/feasible website-translation of published paper to more than 50 languages. It enables to choose the language of interest to read the articles, which enables worldwide communication with researchers in a variety of languages.