Display Fingerprint Sensor Using Luminance Comparison Against Spoofs
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Solution Overview
Problem
Existing display devices with fingerprint sensors face challenges in distinguishing between biometric and forged fingerprints without the need for additional bio or color sensors, leading to increased manufacturing costs.
Innovation Solution
The display device incorporates a fingerprint sensor that acquires both a fingerprint image and its peripheral image, determining similarity through luminance comparison, eliminating the need for separate bio or color sensors by using a comparator to analyze preprocessed images for authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate bio sensor or color sensor is added to determine whether a fingerprint is biometric or forged, then the authentication accuracy is improved, but the manufacturing cost increases
Solution Approach 1:
The display device performs multiple functions using a single integrated system. The fingerprint sensor not only captures fingerprint images but also analyzes luminance characteristics to distinguish biometric from forged fingerprints. The display panel serves both as a visual output device and as a lighting source for fingerprint illumination, eliminating the need for separate bio sensors or color sensors while maintaining authentication accuracy
Solution Approach 2:
The patent combines the fingerprint sensing function, luminance analysis function, and display function into a single integrated device. The fingerprint sensor is integrated with the display panel, allowing the display to serve as both the interface for fingerprint capture and the analysis system for detecting luminance differences between real and forged fingerprints
2Reliability
If the fingerprint sensor simultaneously acquires fingerprint image and peripheral image for similarity analysis, then the ability to detect forged fingerprints is improved, but the device complexity increases
Solution Approach 1:
The image processing is divided into distinct segments: the fingerprint sensor captures the complete image including both the fingerprint region and peripheral region, then the processor separates these regions for independent analysis. The luminance values are extracted and compared in separate processing steps, allowing complex analysis to be broken down into manageable operations without requiring additional hardware components
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 differentiates between biometric and forged fingerprints, reducing manufacturing costs by integrating fingerprint authentication directly into the display device without additional sensors.
Implementation Method 1
sensing light reflected by the fingerprint to acquire a fingerprint image
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
A display device includes a fingerprint sensor including a first layer having at least one photo sensor to generate a fingerprint image corresponding to reflected light from a fingerprint contact surface, light emitting elements to transmit light reflected by the fingerprint, and a second layer including pin holes to allow reflected light to be incident upon the at least one photo sensor; and fingerprint detector to receive the fingerprint image from the fingerprint sensor, to extract a first image corresponding to a first region of the fingerprint and a second image corresponding to a second region of the fingerprint, to compare the first and second images to determine similarity, and to perform fingerprint authentication, based on similarity determination, where the fingerprint first region is in contact with the fingerprint contact surface and the fingerprint second region is not in contact with the fingerprint contact surface.