Fingerprint Sensor Touch Classification for Power Reduction
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Solution Overview
Problem
Current fingerprint recognition systems in smartphones cannot distinguish between correct and incorrect fingerprint touches accurately, leading to increased power consumption due to unnecessary vibrations and reduced standby time.
Innovation Solution
A fingerprint recognition method that collects touch images and distinguishes between correct, wrong, and non-fingerprint touches by setting preset conditions for coverage area and image quality, allowing for targeted actions and reducing power consumption by avoiding notifications for non-fingerprint touches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the smartphone prompts the user by means of vibration when a fingerprint recognition error is determined, then the user can be clearly reminded of the failure, but the power consumption is increased and standby time is reduced
Solution Approach 1:
The patent applies parameter changes by introducing two key parameters: coverage area threshold and image quality threshold. These parameters enable the system to differentiate between genuine fingerprint attempts and accidental touches based on quantitative criteria, allowing vibration feedback to be triggered only when both parameters meet the thresholds, thus reducing unnecessary power consumption while maintaining recognition reliability
Solution Approach 2:
The patent applies local quality by evaluating different characteristics of the touch image locally - specifically examining the coverage area and image quality separately. This localized evaluation allows the system to identify specific features of accidental touches (such as small contact area or poor image quality) and make targeted decisions about whether to trigger vibration feedback, thereby reducing overall power consumption
2Ease of operation
If the smartphone vibrates for all fingerprint recognition errors, then user notification is ensured, but unnecessary vibrations occur for non-fingerprint touches
Solution Approach 1:
The patent introduces parameter changes by establishing coverage area and image quality thresholds that serve as decision criteria. These parameters transform the system from a binary response (vibrate for all errors) to a conditional response (vibrate only when parameters indicate genuine fingerprint attempt), thereby reducing unnecessary energy loss while maintaining clear user feedback for legitimate operations
Solution Approach 2:
The patent applies feedback by using the coverage area and image quality parameters to determine whether vibration feedback should be provided. This feedback mechanism ensures that users receive clear notification only when the touch characteristics match genuine fingerprint patterns, eliminating unnecessary vibrations for accidental touches and reducing energy waste
Data Source
AI summary
A fingerprint recognition method and an electronic device are provided. The method includes collecting a touch image in a fingerprint collection region of the fingerprint recognition sensor; configuring a correspondence list; determining whether the touch image is consistent with a pre-stored fingerprint sample; and if the touch image is consistent with the pre-stored fingerprint sample, executing a first preset action corresponding to the fingerprint sample; or if the touch image is inconsistent with the pre-stored fingerprint sample, determining whether the touch image meets a preset condition; and if the touch image meets the preset condition, executing a second preset action, calculating a quantity of times of continuously executing the second action, and if the quantity of times of continuously executing the second preset action is greater than or equal to a third preset value, locking the electronic device within a preset time.