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Self-presentation is a fundamental aspect of social interaction, shaping both how others perceive individuals and how they view themselves. This dynamic process influences behaviors in various social settings, often leading people to adjust their appearance, speech, and demeanor to align with their desired identity. While self-presentation can be deliberate or unconscious, it plays a critical role in interpersonal relationships and self-perception.Forms of Self-PresentationSelf-presentation can...
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People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
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Acid Attack on Concrete01:21

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When acids come into contact with concrete, they initiate a chemical reaction that dissolves the hydrated cement paste. This process leads to softening and structural weakening of the concrete. This issue is commonly observed in environments such as chimneys, sewers, and industrial settings. The severity of the damage increases as the pH of the water interacting with the concrete drops below 6.5. In particular, a pH under 4.5 can cause significant concrete damage.
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Strategies of Self-Presentation I: Strategic Self-Presentation01:12

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Strategic self-presentation refers to individuals' intentional efforts to influence how others perceive them. This process is employed in various social and professional settings, such as job interviews, dating, politics, and legal contexts, where individuals seek to shape impressions to gain social or material advantages. While people generally present themselves in ways that align with their authentic characteristics, external factors, such as cognitive load, can hinder their ability to...
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Processes of Self-Presentation01:29

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Effective self-presentation is a central component of social interaction and identity construction. It relies on the dynamic processes of defining the situation and engaging in self-disclosure. These mechanisms help individuals navigate social context expectations and manage how others perceive them, fostering mutual understanding and relationship development.Defining the SituationSocial situations are shaped by collectively understood frames—a set of widely understood rules or...
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Sulfate attack on concrete is a deterioration process characterized by a whitish discoloration beginning at the edges and corners, accompanied by cracking and spalling. This phenomenon occurs when sulfates react with the components of hardened concrete, forming compounds like calcium sulfate and calcium sulfoaluminate which occupy more space than the substances they replace, causing the concrete to expand and disrupt.
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Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
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Presentation Attack Detection for Iris Recognition System Using NIR Camera Sensor.

Dat Tien Nguyen1, Na Rae Baek2, Tuyen Danh Pham3

  • 1Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea. nguyentiendat@dongguk.edu.

Sensors (Basel, Switzerland)
|April 27, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to detect presentation attacks on iris recognition systems using near-infrared images. The proposed approach effectively identifies fake irises, enhancing biometric security against printed or contact lens spoofing attempts.

Keywords:
convolutional neural networkiris recognitionpresentation attack detectionsupport vector machines

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Area of Science:

  • Biometrics and Security Engineering
  • Computer Vision and Image Processing
  • Artificial Intelligence

Background:

  • Iris recognition offers high accuracy and security among biometric systems.
  • Presentation attacks using printed images or contact lenses threaten iris recognition security.
  • Existing methods struggle to reliably detect sophisticated spoofing techniques.

Purpose of the Study:

  • To develop a robust presentation attack detection (PAD) method for iris recognition systems.
  • To enhance the security of iris-based biometrics against spoofing.
  • To propose a novel approach utilizing near-infrared (NIR) imaging.

Main Methods:

  • Iris localization using circular edge detection (CED).
  • Feature extraction via deep learning and handcrafted methods.
  • Classification of real vs. attack images using support vector machines (SVM).

Main Results:

  • The proposed iPAD method demonstrated high effectiveness in detecting presentation attacks.
  • Achieved superior detection accuracy compared to previous studies on public datasets.
  • Successfully differentiated between genuine and spoofed iris images.

Conclusions:

  • The developed iPAD method significantly improves the security of iris recognition systems.
  • NIR imaging combined with advanced feature extraction and classification provides a robust PAD solution.
  • This research addresses a critical vulnerability in biometric security.