Abstract
Recognition of reliability of people entering into a system has been a vital downside in numerous business concerns. Biometrics, which provides recognition of personnel using their distinctive traits, has the potential to become an authentic approach and hence are irreplaceable as a part of several identification systems. Uni-modal biometric systems have been designed to validate user identity. These systems use single biometric traits that can be used for recognition. But most of the drawbacks in uni-modal biometric system are due to the use of single attribute of biometric. As a solution to this problem, multimodal biometric identification systems have been developed recently, which are useful for authentication of the users. These systems avoid security threats better and provide higher security to the systems. In this article, the authors present these aspects of behavioral biometrics based on artificial intelligence and provide a comparative study of the existing approaches and systems. Also, some suggestions for future enhancements are presented for better security of the systems.
TopBiometric And Its Types
Let’s, first understand the term “biometrics”, it is extracted from the Greek words ‘bio’ which infers life and ‘metric’ means to measure. So in simple words, Biometrics refers to the study of metrics or traits associated with life, and interestingly it is used in the field of computer science as a technique to identify individuals.
Biometric identifiers can be seen as differentiating, quantifiable traits which are manipulated to label and characterize an individual.
Biometric is broadly segmented into two parts: physiological versus behavioral characteristics.
Physiological Biometric
Physiological characteristics are linked to the static traits of an organism that are not prone to variation over time. Some implementation of physiological traits is face recognition (Tripathy and Sasikumar, 2012), (Debgupta et al, 2020), hand geometry, fingerprint (Tripathy et al, 2012), iris recognition, DNA, retina and many more. A useful face identification technique with masks is given in (Surya et al, 2021).
Key Terms in this Chapter
Authentication: It is the process to identify if the claim made is valid or not.
Uni-Modal: Biometric identification systems that are dependent on one trait (biometric) of a user for recognition and verification is known as uni-modal systems.
Multi-Modal: Biometric identification systems that are dependent on more than one trait (biometric) of a user for recognition and verification is known as uni-modal systems.
Security: It is a sense of protection provided to an individual with regard to something that is considered sensitive or confidential.
Behavioral: It refers to the intrinsic quality of how an individual behaves.
Biometric: Bio means life and metrics infer measurements. So the study of categorization of someone based on their life characteristics that can be measured is called biometrics.