Название: Issues With Facial Recognition Technology
Автор: Warren Lambert
Издательство: Nova Science Publishers
Формат: pdf (true)
Размер: 11.7 MB
Automated facial recognition systems compare two or more images of faces to determine whether they represent the same individual. Facial recognition technology (FRT) falls within the larger categories of biometric technology used to varying degrees by the government and private entities to identify persons. This book deals with some of the issues concerning facial recognition technology. Biometric technology uses automated processes to identify an individual through unique physical characteristics, such a fingerprints, speech patterns, or facial features. FRT can perform several functions, with the most common being face identification - the comparison of an unknown person’s face against a gallery of known persons - and face verification—confirmation of someone’s claimed identity. When an image of an unknown person is compared to a database, the technology may determine that an image in the database is sufficiently similar to register as a likely match. One or more likely matches may be identified. If no images are found to be sufficiently similar, the system will return no matches. Face identification can be used for surveillance, to find a person of interest, or for the identification of subjects who are either unable or unwilling to respond.