Biometric Security in Windows NT Networks

<p>Enhanced security (D)</p> Signup and view all the answers

<p>Reading unique fingerprints (B)</p> Signup and view all the answers

<p>DC Capacitance (B)</p> Signup and view all the answers

<p>Residual prints affecting image quality (A)</p> Signup and view all the answers

<p>Grayscale digitization (C)</p> Signup and view all the answers

<p>Higher resolution with better image quality (D)</p> Signup and view all the answers

<p>Decreased accuracy due to wear (D)</p> Signup and view all the answers

<p>To digitize the measured capacitance values (C)</p> Signup and view all the answers

<p>Weak electrical charges created when the finger is placed on the sensor (D)</p> Signup and view all the answers

<p>They have proven reliability over time (B)</p> Signup and view all the answers

<p>They provide anti-spoofing measures. (B)</p> Signup and view all the answers

<p>Employing temperature sensing technology. (B)</p> Signup and view all the answers

<p>Third level detail analysis (C)</p> Signup and view all the answers

<p>Live finger moisture pattern detection. (A)</p> Signup and view all the answers

<p>Silicone rubber (B)</p> Signup and view all the answers

<p>Pulse oximetry and moisture pattern. (A)</p> Signup and view all the answers

<p>Application of Basic Yellow dye. (D)</p> Signup and view all the answers

<p>They can ensure sufficient population coverage by using multiple traits. (B)</p> Signup and view all the answers

<p>Preventing simultaneous spoofing of multiple traits. (A)</p> Signup and view all the answers

<p>Improved matching accuracy (A)</p> Signup and view all the answers

<p>The global pattern of ridges and furrows cannot be analyzed. (A)</p> Signup and view all the answers

<p>False Acceptance Rate (B)</p> Signup and view all the answers

<p>Global patterns of ridges and furrows (A)</p> Signup and view all the answers

<p>It struggles with different sized minutiae patterns. (C)</p> Signup and view all the answers

<p>Security against counterfeit fingerprints. (C)</p> Signup and view all the answers

<p>To convert the fingerprint image into a format for matching. (B)</p> Signup and view all the answers

<p>5-10% (C)</p> Signup and view all the answers

<p>Ridge thinning (D)</p> Signup and view all the answers

<p>To identify false minutiae (C)</p> Signup and view all the answers

<p>The origin point on an X,Y-axis (C)</p> Signup and view all the answers

<p>Local ridge orientation and frequency (A)</p> Signup and view all the answers

<p>Scars, sweat, or dirt (A)</p> Signup and view all the answers

<p>A ridge ends (C)</p> Signup and view all the answers

<p>Stability of biometric data over time (C)</p> Signup and view all the answers

<p>They can penetrate dirt and residue on the sensing plate. (D)</p> Signup and view all the answers

<p>Their durability under sub-optimal conditions has not been proven. (A)</p> Signup and view all the answers

<p>They can function well in extreme temperatures. (C)</p> Signup and view all the answers

<p>The contact quality between the finger and sensor plate. (B)</p> Signup and view all the answers

<p>It allows for integration into numerous devices while reducing costs. (D)</p> Signup and view all the answers

<p>The images disappear quickly. (D)</p> Signup and view all the answers

<p>It converts differences in temperature into voltage. (C)</p> Signup and view all the answers

<p>The lack of evidence for durability. (C)</p> Signup and view all the answers

A type of fingerprint sensor that uses light to capture an image of the finger.

A component in optical fingerprint sensors that converts light into a digital signal.

A type of fingerprint sensor that uses electrical capacitance to capture an image of the finger.

A type of silicon fingerprint sensor where a constant electrical charge is applied to the sensor plate.

A type of silicon fingerprint sensor where short electric pulses are sent to the fingertip.

The ability of a fingerprint sensor to capture fine details of the fingerprint.

A fingerprint sensor that uses silicon technology and is smaller in size compared to optical sensors.

The ability of a fingerprint sensor to withstand changes in temperature.

A technology that utilizes transmitted ultrasound waves to measure the distance based on the impedance of the finger, plate, and air.

The ability of ultrasound technology to penetrate dirt and residue on the sensing plate and finger, overcoming limitations of optical sensors.

The combination of a large platen size (like optical sensors) and the ability to overcome sub-optimal reading conditions (like silicon sensors) in ultrasound technology.

The high accuracy and resistance to deception associated with ultrasound fingerprint technology.

The dependence of image quality on the contact between the finger and sensor, which can also become hot.

A type of sensor that utilizes pyroelectric material to convert temperature differences into voltage.

The ability of thermal fingerprint sensors to function effectively in extreme temperature conditions like room temperature.

The high resistance to deception with artificial fingertips in thermal fingerprint technology.

The process of enhancing the clarity of fingerprint images by refining ridge and furrow structures. This involves highlighting darker areas, discarding lighter ones, and thinning the ridges to one pixel.

The process of identifying and extracting unique features (minutiae) from a fingerprint image. This involves locating points of ridge endings and bifurcations (branching points) that are used for matching.

Points on a fingerprint where ridges end or bifurcate (branch). These points are essential for matching fingerprints because they are unique and stable.

Points on a fingerprint that appear to be minutiae but are actually caused by factors like scars, dirt, or sweat. These points are filtered out during feature extraction to ensure accurate matching.

The angle of a minutia is measured relative to a horizontal line extending from the core of the fingerprint. This helps in fingerprint matching and is typically measured in degrees.

The location of a minutia is described by its distance from the core of the fingerprint. It's usually represented as coordinates on an X,Y-axis.

The process of creating a digital representation of a fingerprint that represents the unique combination of minutiae. This template is used for identifying and verifying an individual.

The stability and permanence of biometric data over time is crucial for fingerprint-based authentication systems. It ensures that the fingerprint remains consistent over time, allowing for accurate matching.

Multiple biometric traits are combined to make spoofing more difficult. For example, a system might require both fingerprint and facial scan.

The introduction of fake biometric samples to deceive biometric systems.

A type of spoofing attack where a mold of a finger is created from a fingerprint.

This attack aims to alter the data within the system itself, instead of the input during authentication.

This attack targets the input device, like the fingerprint sensor, to alter the biometric data before it reaches the recognition system.

Techniques used to differentiate between live fingerprints and spoofed ones, aiming to detect the presence of a live human.

A solution to spoofing attacks that involves analyzing the moisture patterns on a live finger, which are usually absent in fake samples.

The newest trend in fingerprint verification involves detailed examination of fingerprint pores and ridge structures, potentially offering a more secure method.

The process of identifying and extracting unique features from a fingerprint image, such as minutiae points (ridge endings and bifurcations).

Points on a fingerprint image that represent ridge endings or bifurcations, used for identification and matching.

An algorithm that uses multiple stages and performs feature extraction directly on grayscale fingerprint images. It is known for providing high security and efficiency in fingerprint matching.

The probability that an impostor will be incorrectly identified as an authorized user by the system.

The probability that a genuine user will be incorrectly rejected by the system.

Represents the threshold level where the FAR and FRR are equal, indicating the system's accuracy in balancing false acceptance and rejection. Lower EER indicates better performance.

A research area focusing on enhancing the security of fingerprint recognition systems by addressing vulnerabilities such as spoofing and improving system performance to achieve lower FAR and FRR.

Fingerprint recognition technology replaces traditional passwords with unique finger patterns for enhanced security in Microsoft Windows NT Networks.

A type of biometric security system that uses a fingerprint reader and software algorithms to identify individuals.

The fingerprint verification process uses unique fingerprint patterns to confirm a person's identity.

Fingerprint scanners are compatible with smart card systems, enabling a combined approach for enhanced security.

The security system utilizes a fingerprint reader for user authentication, improving security by replacing passwords with unique fingerprint patterns.