Biometrics week 2.pptx

FACULTY OF AI & DS DEPARTMENT COMPUTER SCIENCE & Semester 5 /Level 3 ARTIFICIAL INTELLIGENCE AI 301: BIOMETRICS 2024 - 2025  Biometric System Properti...

FACULTY OF AI & DS DEPARTMENT COMPUTER SCIENCE & Semester 5 /Level 3 ARTIFICIAL INTELLIGENCE AI 301: BIOMETRICS 2024 - 2025  Biometric System Properties 1. Universality means that every person using a system should possess the trait. 2. Uniqueness means the trait should be sufficiently different for individuals in the relevant population such that they can be distinguished from one another.  Biometric System Properties 3. Permanence relates to the manner in which a trait varies over time. More specifically, a trait with good permanence will be reasonably invariant over time with respect to the specific matching algorithm.  Biometric System Properties 4. Measurability (collectability) relates to the ease of acquisition or measurement of the trait. In addition, acquired data should be in a form that permits subsequent processing and extraction of the relevant feature sets.  Biometric System 5. Properties Performance relates to the accuracy, speed, and robustness of technology used. 6. Acceptability relates to how well individuals in the relevant population accept the technology such that they are willing to have their biometric trait captured and assessed. 7. Circumvention relates to the ease with which a trait might be imitated using an artifact or substitute. Biometric Systems Comparison Biometric Systems Comparison  Biometric Functionalities A biometric system can provide two types of identity management functionalities, namely, verification (authentication) and identification. In verification, the user claims an identity and the system verifies whether the claim is genuine, i.e., the system answers the question “Are you who you say you are?”. (a one-to-one match) Biometric Functionalities  Biometric System Errors The science of biometric recognition is based on two fundamental premises, namely, uniqueness and permanence of the underlying biometric trait.. A biometric identifier is said to be unique only if any two persons in the world can be differentiated based on the given identifier. A biometric trait is permanent if it does not Biometrics of twins (not unique) Biometric Faces (not permanent) Biometric System Errors The variability observed in the biometric feature set of an individual is known as intra- user variations or intra-class variations. This variability may be due to reasons like imperfect sensing conditions, changes in ambient conditions, and variations in the user’s interaction with the sensor (e.g., occluded iris or partial fingerprints)  Performance Measures Two other types of failures are also possible in a practical biometric system. -If an individual cannot interact correctly with the biometric user interface (failure to enroll error) -if the biometric samples of the individual are inherently of very poor quality Examples of biometric samples that lead to failure to enroll error. show examples of degraded finger and hand, Examples of biometric samples that lead to failure to enroll error. shows a degraded eye and a person with eye disease THANK YOU 21