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

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.