دانلود رایگان مقاله انگلیسی تصویر چهره در اشکال مختلف: چالش ها و فرصت های جدید برای تکنولوژی تشخیص چهره - IEEE 2017

Biometrics is the science of establishing human identity according to physical or behavioral characteristics such as faces and fingerprints or the way individuals walk or sign their names. The face, in particular, has rich features that provide strong biometric cues to identify individuals, which has made face recognition suitable for a range of law enforcement applications.1 Face recognition has been widely adopted because the face has a significant role in conveying an individual’s identity in social interaction; it is not hidden; and recognizing it requires neither advanced hardware nor physical contact. Face recognition systems (FRSs) use pattern matching to compare two faces and generate a match score that reflects the degree of their similarity. As FRS use becomes more prevalent worldwide, resolving these accuracy issues is becoming more pressing. Many applications depend critically on recognition to ensure individuals’ security and protect their identity. For example, FRSs are part of the US Visitor and Immigrant Status Indicator Technology (US-VISIT), a US Customs and Border Protection management system and of the (Unique Identification Authority of India (UIDA), which issues unique ID numbers to all Indian residents. Pervasive software, such as Microsoft Windows 10 and Kinect, use face recognition when users attempt to access the dashboard and automatically login to a profile, such as that on Xbox Live. The Toshiba YL863 TV uses face biometrics to provide customized, automatic, and advanced use settings, while the Sony HX920 TV uses face biometrics to sound an alert when viewing distance is too short or to power off the TV when it detects the absence of a viewer. Face biometrics are also used ubiquitously as a password alternative on some mobile devices. Examples include the Android KitKat mobile OS, Lenovo VeriFace, Asus Smart-Logon, and Toshiba SmartFace.