Biometric Authentication System Positional Error Correction
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Solution Overview
Problem
Existing biometric authentication systems face challenges in accurately imaging and authenticating the iris due to positional displacement between wide-range and narrow-range cameras, leading to errors in authentication processing.
Innovation Solution
A biometric authentication system that includes a first imaging unit for capturing a wide image of a living body, a detecting unit to identify the position of the living body, a second imaging unit for capturing an authentication portion based on the detected position, an error calculating unit to assess the positional displacement, and an adjusting unit to adjust settings for the second imaging unit to minimize errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a wide camera is used to capture the entire living body, then the coverage area is improved, but the positioning precision of the authentication portion deteriorates
Solution Approach 1:
The imaging system is divided into two separate cameras: a wide camera for capturing the entire living body and a narrow camera for capturing the authentication portion (iris) with high precision. This segmentation allows each camera to be optimized for its specific function, resolving the contradiction between coverage area and positioning precision.
Solution Approach 2:
The center coordinates detected by the wide camera serve as an intermediary to guide the narrow camera's imaging. The wide camera provides initial positioning information, which is then used by the narrow camera to capture the precise authentication portion, bridging the gap between broad coverage and precise measurement.
2Measurement precision
If the center coordinates are temporarily stored and corrected, then the positioning accuracy is improved, but the system complexity increases
Solution Approach 1:
The system implements feedback by calculating the error between the wide camera's detected position and the narrow camera's actual captured position, then using this error to correct future positioning. This feedback mechanism improves positioning accuracy without requiring complex hardware modifications.
Solution Approach 2:
The wide camera performs preliminary detection of the living body's position and center coordinates before the narrow camera captures the authentication portion. This preliminary action provides initial positioning information that simplifies the subsequent precise imaging process.
3Measurement precision
If gaze region adjustment is performed based on previous imaging, then the authentication precision is improved, but the adaptability to new targets deteriorates
Solution Approach 1:
The gaze region adjustment is made dynamic by calculating errors for each new target based on the difference between wide camera detection and narrow camera capture positions. This allows the system to adapt its correction parameters for each new target while maintaining improved authentication precision.
Solution Approach 2:
The system changes the parameter of center coordinates by adding correction values derived from error calculation. This parameter adjustment allows the system to maintain high authentication precision while adapting to different targets, as the correction values are recalculated for each new target.
4Measurement precision
If line of sight detection is performed to guide camera imaging, then the authentication accuracy is improved, but the processing time increases
Solution Approach 1:
The wide camera performs preliminary detection of the living body's position and center coordinates before the narrow camera captures the authentication portion. This preliminary action provides initial positioning information that reduces the processing time required for precise imaging.
Solution Approach 2:
The imaging process is segmented into two rapid sequential steps: wide camera detection followed by narrow camera capture. This segmentation allows each step to be optimized for speed and accuracy, reducing overall processing time while maintaining high authentication accuracy.
Data Source
AI summary
A biometric authentication system (10) comprises a first imaging unit (11) that images a first image including a living body; a detecting unit (115) that detects a position of the living body in the first image; a second imaging unit (120) that images a second image including an authentication portion of the living body, based on the position of the living body in the first image; a calculating unit (140) that calculates an error between the first imaging unit and the second imaging unit based on the position of the living body in the first image and a position of the authentication portion in the second image; and an adjusting unit (150) that adjusts a set value relating to the second imaging unit, based on the error.