Biometric Authentication System Using Multi-Section Finger Scanning
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Solution Overview
Problem
Conventional mobile payment solutions are susceptible to spoofing and hacking, leading to illegal purchases and identity theft, as they lack effective biometric authentication methods to verify the liveliness of the user's biometric data.
Innovation Solution
A biometric authentication system that captures data from multiple sections of a finger, including authentication data (fingerprint, vein patterns, bone structure) and liveness data (blood flow, pulse), to ensure the finger is live and unique to the user, preventing artificial fingers from bypassing the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional biometric authentication methods are used, then the authentication process is simple and fast, but the system is susceptible to spoofing and hacking attacks
Solution Approach 1:
The authentication system is segmented into multiple independent verification components: authentication data capture (fingerprint, vein pattern, bone structure), liveness data capture (blood flow detection), and multi-section finger scanning. Each segment performs a specific function, and all must succeed for authentication, thereby improving reliability through layered security without requiring a single complex authentication mechanism
Solution Approach 2:
Liveness data serves as an intermediary verification layer between the physical finger and the authentication decision. The blood flow detection acts as a mediator that confirms the finger is alive before proceeding to authenticate biometric features, preventing spoofing attacks while maintaining a structured authentication flow
2Measurement precision
If authentication data from a single finger section is used, then the scanning process is fast, but the authentication accuracy is reduced
Solution Approach 1:
The finger is divided into multiple scan sections, and authentication data is collected from each section. By segmenting the finger into discrete scanning zones, the system captures comprehensive biometric data across the entire finger surface, improving measurement precision through multiple data points while managing scan time through efficient sequential or parallel processing of sections
Solution Approach 2:
The system performs authentication scans across multiple finger sections beyond the minimum single-point scan. This excessive scanning action captures redundant biometric data from different areas, improving authentication accuracy through data aggregation and pattern matching across sections, while the system optimizes the balance between comprehensive scanning and acceptable authentication time
Data Source
AI summary
Systems and methods for biometrically authenticating a user are disclosed. In one implementation, a biometric authentication system may include a finger scanner for capturing biometric data from a plurality of sections of a finger of a user. The finger may include a distal section, a medial section, and a proximal section. The biometric authentication system may further include one or more processors configured to cause the finger scanner to capture the biometric data from the plurality of sections of the finger of the user. The biometric data may include authentication data and liveness data. The processors may be further configured to access registered authentication data associated with the user, determine whether the captured authentication data matches the authentication biometric data, and determining, using the captured liveness data, whether the finger is a live finger. Additionally, the processors may be configured to authenticate the user after the captured authentication data is determined to match the registered authentication data and after the finger is determined to be a live finger.