Optical Fingerprint Verification Ambient Light Adaptation
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Solution Overview
Problem
Optical fingerprint identification in mobile terminals is affected by external ambient light, leading to deviations in fingerprint data and matching results, which existing technologies have not adequately addressed.
Innovation Solution
The method involves controlling an optical sensor to detect ambient light intensity and using an application processor to determine whether fingerprint data matches a set of target fingerprint template data pre-stored in the mobile terminal, with the option to collect multiple sets of fingerprint template data based on different ambient light intensities to select the set with minimum noise, and adjusting fingerprint collection based on time and motion detection to improve matching accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical fingerprint identification component uses reflected light to form fingerprint image, then fingerprint identification can be implemented, but ambient light interference causes deviation in fingerprint data and affects matching accuracy
Solution Approach 1:
The patent applies the 'Blessing in disguise' principle by converting the harmful ambient light interference into a useful parameter for identification. Instead of simply blocking or filtering ambient light, the system captures the ambient light characteristics along with the fingerprint reflection and uses this combined information to enhance matching accuracy. The ambient light that was previously considered noise is now transformed into additional biometric information that can distinguish between different fingers more reliably.
2Reliability
If multiple sets of fingerprint template data are collected based on different ambient light intensities, then matching accuracy under various lighting conditions is improved, but device complexity and processing time increase
Solution Approach 1:
The patent implements the 'Dynamics' principle by making the fingerprint template selection adaptive and dynamic rather than static. The system automatically selects which fingerprint template set to use based on the current ambient light conditions detected during authentication. This dynamic adaptation allows the system to maintain high matching accuracy across varying lighting environments without requiring complex manual configuration or user intervention to choose between different template sets.
3Measurement precision
If fingerprint template data is pre-stored for different ambient light intensities, then matching accuracy is improved, but memory requirements and data storage complexity increase
Solution Approach 1:
The patent applies the 'Preliminary action' principle by pre-collecting and storing multiple sets of fingerprint template data under different ambient light intensities during device setup or initial registration. This preliminary preparation ensures that when authentication is needed, the system already has pre-processed template data ready for various lighting conditions, eliminating the need for real-time processing and conversion during actual fingerprint verification.
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 enhances the accuracy and reliability of fingerprint verification by reducing the impact of ambient light on fingerprint matching and preventing spurious triggering, thereby improving the success rate of optical fingerprint matching.
Implementation Method 1
The optical sensor is configured to detect a current external ambient light intensity
Implementation Method 2
the light passes through a displaying screen surface pressed with a fingerprint and then may be reflected to the optical fingerprint identification component, the optical fingerprint identification component receives the reflected light and converts the light into fingerprint data
Data Source
Figure 1a~1b
Figure 1c~1d
Figure 1e
AI summary
Embodiments of the present disclosure provide an optical fingerprint verification method and a mobile terminal (500). The method may include: controlling (201, 303, 403) the optical sensor to detect an external ambient light intensity when the mobile terminal acquires a fingerprint collecting instruction; controlling (202, 305, 409) the optical fingerprint identification component to collect fingerprint data; and determining (203, 306, 410) whether the fingerprint data matches to a set of target fingerprint template data corresponding to the external ambient light intensity via the AP, and when the fingerprint data matches to the set of target fingerprint template data, determining (204, 307, 411) that a fingerprint verification is passed.