Face Recognition

International Journal of Sensor Networks and Data Communications is the most counted journal on Face recognition. The journal follows a stringent peer-review process that aims to improve the overall quality of the published content and attracting more number of citations. In collaborative efforts, the journal is focusing on wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. Face recognition application automatically identifies the captured image with the image in the template element of a database. Face recognition is a computer technology that determines the locations and sizes of human faces in digital images. It detects face and ignores anything else, such as buildings, trees and bodies. Face recognition can be regarded as a more general case of face localization. In face localization, the task is to find the locations and sizes of a known number of faces (usually one). The OMICS International handles over 350 titles at present, which also broadly include Open Access journals on Life Sciences, Chemical Sciences, Management and Engineering Sciences which are beneficial to both scholars and students. With the growing number of scientific enthusiasts and readers by a large margin, the efficacy of open access publishing has witnessed an assertive impact. International Journal of Sensor Networks and Data Communication is known for its best articles on security frameworks for wireless 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.