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This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including Machine Learning, Deep Learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics.
The term ‘biometrics’ refers to the distinctive physical or behavioral characteristics of an individual that can be exploited for the purpose of electronic identification and authentication. Among the many types of biometric identifiers, some examples are fingerprints, face traits, speech patterns, and handwriting speed. Each one of these identities can be used independently as a unique identifier for a certain individual, and they can also be used in conjunction with one another to increase the reliability of identification. Today, biometrics are finding an increasing number of applications across a wide range of industries.
The utilization of Artificial Intelligence (AI) in the field of biometrics is rapidly developing, with the objective of enhancing the dependability, efficiency, and safety of biometric identification systems. There are numerous applications of AI that can be utilized to improve biometric systems. Some of these applications include boosting precision, accelerating performance, and strengthening safety. Biometrics that are powered by AI are currently being used for a variety of purposes, including, but not limited to, authorization of access, financial transactions, logistics, and medical care. It is projected that increasing numbers of people will make use of biometrics that are based on Artificial Intelligence in the years to come as this technology continues to develop and become more affordable. The implementation of AI in biometrics has the potential to bring about a fundamental shift in the manner in which we establish our identities and interact with the outside world.
An intriguing new breakthrough in the field of biometrics is the application of AI, which has the promise of improving the reliability, speed, and safety of biometric authentication techniques. It is anticipated that biometrics that are based on AI will become increasingly widely used in a variety of applications as the technology continues to advance and become more inexpensive. Facial recognition, fingerprint recognition, and voice recognition are all examples of real uses of AI in the field of biometrics