IET 313 Midterm || with 100% Accurate Solutions.
AIDC correct answers Automatic Identification and Data Capture
3 forms of person recognition correct answers token - what you have (User ID, badge); password
- what you know (PIN, password); biometric - something unique about the use (fingerprint, face,
iris)
General Biometric Model correct answers Data Capture, Signal Processing, Data Storage,
Matching, and Decision
Data Capture correct answers the presentation of the biometric to the sensor by the user
Signal Processing correct answers Three tasks: Segmentation, Feature Extraction, Quality
Control
Enrollment in Signal processing correct answers Depending on quality, the sample will be
processed as a template or user will be asked to present another sample
Verification/Identification in signal processing correct answers Samples that met quality
threshold are sent for matching
Signal Processing: quality control correct answers A subjective assessment based on some
predefined criteria
3 measures: Character, fidelity, utility
Character correct answers The ability of the user to provide features in a biometric sample
Fidelity correct answers The degree of similarity between a biometric sample and its subject
Utility correct answers The impact of an individual biometric sample on the overall performance
of a biometric system
Data storage correct answers Enrollment database contains stored templates; binary
representations of the sample templates of all enrolled users
Matching correct answers The comparison between sample and template (from enrollment) is
made, and the output is a similarity score
Decision correct answers Comparison between the similarity score and the threshold value.
Decision type depends on the system (verification vs identification)
7 biometric system attributes correct answers Universality, Collectability/Usability,
Circumvention (Vulnerabilities), Permanence/Stability, Acceptability, Uniqueness, Performance
Universality correct answers majority of people can use
AIDC correct answers Automatic Identification and Data Capture
3 forms of person recognition correct answers token - what you have (User ID, badge); password
- what you know (PIN, password); biometric - something unique about the use (fingerprint, face,
iris)
General Biometric Model correct answers Data Capture, Signal Processing, Data Storage,
Matching, and Decision
Data Capture correct answers the presentation of the biometric to the sensor by the user
Signal Processing correct answers Three tasks: Segmentation, Feature Extraction, Quality
Control
Enrollment in Signal processing correct answers Depending on quality, the sample will be
processed as a template or user will be asked to present another sample
Verification/Identification in signal processing correct answers Samples that met quality
threshold are sent for matching
Signal Processing: quality control correct answers A subjective assessment based on some
predefined criteria
3 measures: Character, fidelity, utility
Character correct answers The ability of the user to provide features in a biometric sample
Fidelity correct answers The degree of similarity between a biometric sample and its subject
Utility correct answers The impact of an individual biometric sample on the overall performance
of a biometric system
Data storage correct answers Enrollment database contains stored templates; binary
representations of the sample templates of all enrolled users
Matching correct answers The comparison between sample and template (from enrollment) is
made, and the output is a similarity score
Decision correct answers Comparison between the similarity score and the threshold value.
Decision type depends on the system (verification vs identification)
7 biometric system attributes correct answers Universality, Collectability/Usability,
Circumvention (Vulnerabilities), Permanence/Stability, Acceptability, Uniqueness, Performance
Universality correct answers majority of people can use
