View source for 20240087358.LIVENESS TEST METHOD AND APPARATUS AND BIOMETRIC AUTHENTICATION METHOD AND APPARATUS simplified abstract (samsung electronics co., ltd.)

=LIVENESS TEST METHOD AND APPARATUS AND BIOMETRIC AUTHENTICATION METHOD AND APPARATUS=


==Organization Name==

[[:Category:samsung electronics co., ltd.|samsung electronics co., ltd.]]


[[Category:samsung electronics co., ltd.]]

==Inventor(s)==

[[:Category:Youngjun Kwak of Seoul (KR)|Youngjun Kwak of Seoul (KR)]][[Category:Youngjun Kwak of Seoul (KR)]]

[[:Category:Minsu Ko of Suwon-si (KR)|Minsu Ko of Suwon-si (KR)]][[Category:Minsu Ko of Suwon-si (KR)]]

[[:Category:Youngsung Kim of Suwon-si (KR)|Youngsung Kim of Suwon-si (KR)]][[Category:Youngsung Kim of Suwon-si (KR)]]

[[:Category:Heewon Kim of Seoul (KR)|Heewon Kim of Seoul (KR)]][[Category:Heewon Kim of Seoul (KR)]]

[[:Category:Ju Hwan Song of Suwon-si (KR)|Ju Hwan Song of Suwon-si (KR)]][[Category:Ju Hwan Song of Suwon-si (KR)]]

[[:Category:Byung In Yoo of Seoul (KR)|Byung In Yoo of Seoul (KR)]][[Category:Byung In Yoo of Seoul (KR)]]

[[:Category:Seon Min Rhee of Seoul (KR)|Seon Min Rhee of Seoul (KR)]][[Category:Seon Min Rhee of Seoul (KR)]]

[[:Category:Yong-il Lee of Daejeon (KR)|Yong-il Lee of Daejeon (KR)]][[Category:Yong-il Lee of Daejeon (KR)]]

[[:Category:Jiho Choi of Seoul (KR)|Jiho Choi of Seoul (KR)]][[Category:Jiho Choi of Seoul (KR)]]

[[:Category:Seungju Han of Seoul (KR)|Seungju Han of Seoul (KR)]][[Category:Seungju Han of Seoul (KR)]]

==LIVENESS TEST METHOD AND APPARATUS AND BIOMETRIC AUTHENTICATION METHOD AND APPARATUS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240087358 titled 'LIVENESS TEST METHOD AND APPARATUS AND BIOMETRIC AUTHENTICATION METHOD AND APPARATUS

==Simplified Explanation==

The abstract describes a method for determining whether an object is genuine based on preprocessed infrared and depth images.

* The method involves generating a preprocessed infrared image by performing preprocessing on an infrared image containing the object.
* It also includes generating a preprocessed depth image by performing preprocessing on a depth image containing the object.
* The determination of whether the object is genuine is based on the preprocessed infrared and depth images.

== Potential Applications ==
This technology could be applied in various industries such as security, manufacturing, robotics, and healthcare for object recognition and authentication purposes.

== Problems Solved ==
This technology helps in accurately determining the authenticity of objects, which can be crucial in security-sensitive environments and quality control processes.

== Benefits ==
The method provides a reliable way to verify the genuineness of objects using infrared and depth imaging techniques, enhancing security and quality control measures.

== Potential Commercial Applications ==
"Enhancing Object Authentication Using Preprocessed Infrared and Depth Images" - This title is SEO optimized for potential commercial applications of the technology.

== Possible Prior Art ==
There may be prior art related to using infrared and depth images for object authentication, but specific examples are not provided in this article.

=== Unanswered Questions ===

=== How does this method compare to traditional object authentication techniques? ===
This article does not compare the proposed method to traditional object authentication techniques, leaving a gap in understanding the technology's advantages over existing methods.

=== What are the limitations of using preprocessed infrared and depth images for object authentication? ===
The article does not address the potential limitations or challenges associated with using preprocessed infrared and depth images for object authentication, leaving room for further exploration into the technology's constraints.


==Original Abstract Submitted==

a processor-implemented method includes generating a preprocessed infrared (ir) image by performing first preprocessing based on an ir image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed ir image and the preprocessed depth image



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