Artificial Intelligence in Biometrics and Face Detection

In 1956 John McCarthy first coined the term Artificial Intelligence, he defined it as “the science and engineering of making intelligent machines”, and development of computer systems able to perform tasks normally requiring human Intelligence. Biometrics is a technical term for measurements and calculations, it refers to metrics related to human characteristics. With the wide spread of AI touching every possible field, advancements in the field of Biometrics has come a long way. In this paper we aim at introducing the readers to the basic principles of AI in Biometrics, performance of Biometric Systems in terms of false match rate (FMR), failure to enroll rate (FER), equal error rate (ERR), which have reduced extensively after the use of AI. Its application in the banking industry, explaining the use of Iris Recognition, for easier and safer withdrawal of money, in National Security in terms of Skynet: China’s best Surveillance System, which uses Face Recognition technology to its full potential. After describing the applications, we define Biometrics of Intent, which surpasses the traditional scope and ambition of this Technology, a new era of Biometrics, one where cognitive sciences and neurobehavioral insights such as heart rates, breathing, eye movement, will be integrated into screening process, which help identify potentially dangerous individuals