Ear Scan Biometric Authentication Subsystem
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Solution Overview
Problem
Current identity-establishing methods, such as passports, ID cards, PINs, and biometrics, are vulnerable to loss, duplication, theft, and hacking, posing risks for individuals and organizations, especially with the proliferation of mobile devices and increasing cyber threats.
Innovation Solution
An ear-scan-based biometrics subsystem that collects touch-point locations and device-orientation data to generate a unique representation of an ear scan, allowing for secure authentication by comparing scans to stored profiles, providing robust and reliable access control for devices and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identity-establishing methods (passports, ID cards, PINs, passwords) are used, then access control is implemented, but vulnerability to loss, duplication, theft, and hacking increases
Solution Approach 1:
The patent creates a digital copy of the user's ear anatomy through touch-point scanning, storing it as biometric data. This digital replica serves as the authentication key, replacing traditional physical identifiers (passports, ID cards) that are vulnerable to loss and theft. The ear scan data can be securely stored and compared without requiring the physical presence of the original identifier.
Solution Approach 2:
The patent replaces mechanical/physical authentication systems (physical passports, ID cards, manual PIN entry) with an automated biometric scanning system. The touch-sensitive display automatically detects ear contact points and generates authentication data without requiring physical manipulation of vulnerable identification documents or manual entry of vulnerable PINs.
2Reliability
If biometrics scans are used for authentication, then security is improved, but complexity of the authentication process increases
Solution Approach 1:
The patent utilizes the existing touch-sensitive display of the mobile device for multiple purposes: as the user interface, as the scanning sensor, and as the data collection mechanism. This eliminates the need for separate biometric scanning hardware, reducing device complexity while maintaining security. The same screen users interact with daily becomes the authentication sensor.
Solution Approach 2:
The user's ear itself serves as the scanning tool by making contact with the display. The anatomical features of the ear naturally create the touch-point pattern that identifies the user, eliminating the need for external scanning devices or complex positioning mechanisms. The body performs the scanning function through its own geometry.
3Measurement precision
If ear scan data is collected and stored, then authentication accuracy is improved, but data storage requirements and processing complexity increase
Solution Approach 1:
The patent extracts only the essential authentication data from the ear scan - specifically the touch-point locations and derived geometric features - rather than storing complete high-resolution images or exhaustive measurement sets. This selective extraction maintains authentication accuracy while minimizing data storage requirements and processing complexity.
Solution Approach 2:
The ear scan data is segmented into discrete touch-point locations rather than being stored as continuous analog data or complete images. This segmentation into distinct coordinate points reduces data volume while preserving the geometric patterns necessary for accurate authentication. The segmented data is easier to store, process, and compare.
Data Source
AI summary
The current document is directed to an ear-scan-based biometrics subsystem that is incorporated into any of a wide variety of processor-controlled devices, including mobile phones. The biometrics subsystem collects touch-point locations, device-orientation-representative angles, and, in certain implementations, additional data during each ear scan and uses the collected information to derive additional data that is stored with the collected data to generate a stored data representation of the ear scan. A first ear scan can be compared to a second ear scan to generate a matching score from weighted scores obtained from the touch-point locations and derived data, device-orientation-representative angles, and additional data within the stored data representations of the first and second ear scans. Ear-scan matching provides a basis for authentication of users and for compiling ear-scan profiles for users.