Under-screen Fingerprint Detection via Multi-angle Light Reflection
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Solution Overview
Problem
Optical fingerprint identification technologies face security risks due to misidentification and high costs associated with heart rate detection, and low accuracy with filtering identification methods, necessitating an improved method for distinguishing between 2D and 3D objects for secure fingerprint recognition.
Innovation Solution
A method and apparatus for under-screen fingerprint identification that acquire light signals in multiple directions using fingerprint detecting units with multiple light directing channels and optical sensing pixels, determining whether the sampled object is a 3D object by analyzing differences in 2D fingerprint images generated from these signals, and performing fingerprint identification only when a 3D object is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If heart rate detection technology is used to determine whether the sampled object is a live finger, then the security of fingerprint identification is improved, but the cost and implementation complexity increase
Solution Approach 1:
The patent replaces complex physiological detection systems (heart rate detection) with a simpler optical system that uses multiple light sources and sensors to detect structural characteristics of the finger. The system uses light reflection and absorption patterns to determine if the object is a real finger, eliminating the need for complex biomedical sensors while maintaining security.
Solution Approach 2:
The patent creates multiple virtual images of the finger from different viewing angles using arrays of light sources and sensors. By analyzing the consistency and differences between these copied images, the system can verify the authenticity of the finger without requiring complex physiological measurements. The copied optical patterns serve as sufficient authentication data.
2Ease of manufacture
If filtering identification technology is used to authenticate fake fingerprints based on image color, then the implementation cost is reduced, but the accuracy decreases
Solution Approach 1:
The patent transitions from analyzing a single 2D fingerprint image to capturing and analyzing multiple images from different angles and depths. By adding the dimension of viewing angle and depth information through arrays of light sources at different positions, the system achieves more accurate authentication without relying solely on color filtering, thereby improving precision while keeping costs reasonable.
Solution Approach 2:
The patent changes the parameters used for authentication from simple color values to complex optical characteristics including light reflection intensity, absorption patterns, and structural geometry. By measuring multiple optical parameters simultaneously using different light wavelengths and angles, the system achieves high accuracy authentication while avoiding the need for expensive specialized filters.
3Ease of manufacture
If 2D fingerprint image matching is used for identification, then the manufacturing cost is low and implementation is simple, but the security risk increases due to misidentification
Solution Approach 1:
The patent extends 2D fingerprint imaging to 3D by incorporating depth information through multiple light sources positioned at different angles. The system captures optical patterns that reveal the three-dimensional structure of the finger, including ridge depth and surface topology. This additional dimensional data enables more secure authentication while maintaining compatibility with standard imaging technologies, avoiding the need for expensive specialized hardware.
Solution Approach 2:
The patent performs preliminary analysis of optical patterns from multiple angles before final fingerprint matching. By pre-processing the multi-angle optical data to extract structural characteristics and verify consistency, the system identifies potential fake fingerprints early in the authentication process. This preliminary verification step prevents misidentification before the final 2D image matching occurs, enhancing security without significantly increasing complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively enhances the security of fingerprint identification by distinguishing between 2D and 3D objects, reducing the risk of misidentification and improving accuracy, thereby improving the overall security and reliability of the fingerprint recognition process.
Implementation Method 1
acquire light signals in multiple directions reflected via a sampled object above the display screen
Data Source
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AI summary
A method for identifying a fingerprint, a fingerprint identification apparatus and an electronic device are provided. The method includes: acquiring light signals in multiple directions reflected via a sampled object above a display screen; generating a plurality of two-dimensional 2D fingerprint images respectively based on the light signals in the multiple directions; determining whether the sampled object is a three-dimensional 3D object based on the plurality of 2D fingerprint images; and if the sampled object is the 3D object, performing fingerprint identification based on at least one of the plurality of 2D fingerprint images. A distinction between a 2D object and a 3D object is effectively achieved through the light signals in the multiple directions, and when the sampled object is a 3D object, subsequent fingerprint identification is performed, which fundamentally avoids performing the fingerprint identification based on a fake fingerprint captured by a 2D object, thereby improving security of the fingerprint identification.