Fingerprint Sensor with Internal Biometric Wave Detection
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Solution Overview
Problem
Conventional fingerprint authentication systems are vulnerable to hacking techniques and do not provide a high enough level of security for personal information management, as they rely solely on surface fingerprint recognition without verifying internal biometric information.
Innovation Solution
A fingerprint authentication system that includes a fingerprint sensor capable of applying wave signals to an object, receiving reflected signals, and analyzing them to perform both surface and internal biometric authentication, using ultrasonic or RF waves to detect features such as blood vessels and bones, and comparing these patterns with stored data for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional surface-only fingerprint recognition is used, then the system is simple and easy to operate, but the security level is insufficient and vulnerable to hacking
Solution Approach 1:
The authentication process is divided into two distinct stages: first step authentication using surface fingerprint shape, and second step authentication using internal biometric information. This segmentation allows the system to maintain simplicity for basic operations while providing enhanced security when needed, resolving the contradiction between security level and system complexity.
Solution Approach 2:
The system transitions from two-dimensional surface fingerprint scanning to three-dimensional internal structure detection by applying wave signals to penetrate the fingerprint and detect subsurface features such as blood vessels and bone structure. This dimensional expansion significantly enhances security without requiring complete system redesign.
2Reliability
If only surface fingerprint shape is authenticated, then the authentication process is fast and simple, but it can be easily forged
Solution Approach 1:
The system performs pattern processing and feature extraction on surface fingerprints in advance during the first step authentication. This preliminary action prepares the data structure for rapid comparison, ensuring that even when adding internal biometric verification, the overall authentication time remains minimal.
Solution Approach 2:
By detecting internal biometric features such as blood vessel patterns and bone structure beneath the skin surface, the system adds a dimensional layer of verification that is extremely difficult to forge. This internal dimension provides anti-forgery capability without significantly increasing authentication time due to the efficient wave signal processing.
3Reliability
If internal biometric information is detected using wave signals, then security is enhanced, but the device complexity and processing requirements increase
Solution Approach 1:
The fingerprint sensor is designed to perform multiple functions: it can conduct both surface fingerprint scanning and internal biometric detection using the same hardware infrastructure. The signal communication units and control logic are configured to switch between different authentication modes, reducing the need for separate dedicated sensors and minimizing overall device complexity.
Solution Approach 2:
The system replaces complex mechanical contact-based fingerprint sensors with wave signal-based detection that can penetrate the skin and detect internal structures. This substitution uses electromagnetic or acoustic wave principles rather than mechanical pressure sensors, simplifying the hardware while enhancing the ability to detect internal biometric information for more accurate authentication.
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
The system provides a higher level of security by combining surface and internal biometric authentication, making it more difficult to forge fingerprints and thus enhancing the reliability of personal information management.
Implementation Method 1
The wave signal applied to the object under examination from the at least one signal communication unit may have an ultrasonic wave characteristic or a radiofrequency (RF) characteristic
Implementation Method 2
a fingerprint sensor configured to apply wave signals to an object under examination, and to receive wave signals reflected from the object under examination
Data Source
AI summary
Provided is a fingerprint authentication system and a method of authentication. The fingerprint authentication system may have a configuration to analyze a reflection wave signal reflected at a surface of an object under examination or an internal of the object under examination by applying a wave signal from at least one of signal communication unit of a fingerprint sensor to the object under examination. In the method of authentication, the controller in the fingerprint authentication system may be configured to selectively perform a first step authentication to authenticate a shape of a fingerprint, and a second step authentication to detect internal biometric information of the object under examination.