Biometric recognition technology is a method for identification or verification based on human physiological or behavioral characteristics. Biometric features for authentication include iris, fingerprint, palm print, face, ear type, voiceprint and gait. Face recognition is face-based identification technology, which is a main trend of biometric recognition. Compared with other biometric technologies, face recognition technology has unique advantages. It does not require user cooperation and the acquisition process is non-contact.
Pattern Recognition is the official journal of the Pattern Recognition Society. The Society was formed to fill a need for information exchange among research workers in the pattern recognition field. Up to now, we "pattern-recognitionophiles" have been tagging along in computer science, information theory, optical processing techniques, and other miscellaneous fields. Because this work in pattern recognition presently appears in widely spread articles and as isolated lectures in conferences in many diverse areas, the purpose of the journal Pattern Recognition is to give all of us an opportunity to get together in one place to publish our work. The journal will thereby expedite communication among research scientists interested in pattern recognition.
Advances in Artificial Intelligence (AI) and computer processors have opened new ways for face recognition online services not possible before. Startups all over the world are developing Apps and products that make use of Face Recognition. Moreover, they are bringing products into the market with user authentication, attendance tracking and photo grouping (for event photographers) capabilities, to name a few. Face Recognition Online software components are challenging to develop in-house. For this reason, it makes sense for startups and software companies to buy this capability from specialized vendors.
Applied Recognition and PS Solutions have jointly developed a prototype smart mirror that can provide personalized information to individuals using Applied Recognition's facial recognition authentication technology combined with future machine learning. The "Information Mirror" displays information relevant to the individual such as the weather forecast, news, etcetera based on information which has been pre-set, and can be used as a bathroom mirror. By using Applied Recognition's facial recognition authentication technology, Ver-ID Authentication, the individual reflected in the mirror can be automatically recognized and have personalized content displayed. In combination with machine learning in the future, it will also be possible to make suggestions according to lifestyle such as clothing, food or transport routes based on the individual's schedule. "Applied Recognition is grateful for the opportunity to work with PS Solutions, the leader in Japanese IoT solutions, on this facial recognition prototype," said Applied Recognition CEO Ray Ganong.
Facebook on Tuesday said that its facial recognition technology applied to photos by default currently, will now be an opt-in feature. In a blog post, Facebook announced that its facial recognition technology will no longer identify new users in their photo by default and that the existing users have an option to opt-out of it from Facebook Settings. "Starting today, people who newly join Facebook or who previously had the tag suggestions setting will have the face recognition setting and will receive information about how it works. The tag suggestions setting, which only controls whether we can suggest that your friends tag you in photos or videos using face recognition will no longer be available," Facebook said. For the uninitiated, Facebook's facial recognition setting was previously called tag suggestions because Facebook claimed that it was only used to automatically suggest tags of your friends in photos.