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17991213. METHOD AND APPARATUS FOR TESTING LIVENESS simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

From WikiPatents

METHOD AND APPARATUS FOR TESTING LIVENESS

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Hana Lee of Suwon-si (KR)

Youngjun Kwak of Seoul (KR)

Sungheon Park of Suwon-si (KR)

Hyeongwook Yang of Suwon-si (KR)

Byung In Yoo of Seoul (KR)

Juwoan Yoo of Anyang-si (KR)

Solae Lee of Suwon-si (KR)

Yong-Il Lee of Daejeon (KR)

Jiho Choi of Seoul (KR)

METHOD AND APPARATUS FOR TESTING LIVENESS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17991213 titled 'METHOD AND APPARATUS FOR TESTING LIVENESS

Simplified Explanation

The patent application describes a method and apparatus for testing the liveness of an object using image sensor technology and neural networks. Here are the key points:

  • The method involves receiving a color image and a photodiode (PD) image of an object from an image sensor.
  • The color image and PD image are preprocessed to enhance their quality and extract relevant information.
  • A neural network is used to analyze the preprocessed color image and PD image.
  • The neural network determines the liveness of the object based on the results of the preprocessing.

Potential applications of this technology:

  • Biometric authentication systems: The method can be used to verify the liveness of a person's face or fingerprint, enhancing the security of biometric authentication systems.
  • Anti-spoofing measures: The technology can be applied to detect and prevent spoofing attacks in various domains, such as facial recognition systems or access control systems.
  • Fraud prevention: The method can be utilized in financial transactions or identity verification processes to detect fraudulent attempts.

Problems solved by this technology:

  • Preventing spoofing attacks: By analyzing both color and PD images, the method can distinguish between real objects and fake replicas, improving the security of various systems.
  • Enhancing accuracy: The use of neural networks allows for more accurate and reliable liveness detection compared to traditional methods.
  • Improving user experience: By quickly and accurately determining liveness, the technology can provide a seamless and efficient user experience in authentication processes.

Benefits of this technology:

  • Enhanced security: The method provides an additional layer of security by detecting and preventing spoofing attempts, ensuring the authenticity of the object being tested.
  • Improved accuracy: The use of neural networks improves the accuracy of liveness detection, reducing false positives and false negatives.
  • Efficient and fast: The method can be performed quickly, allowing for real-time liveness testing in various applications.


Original Abstract Submitted

Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

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