Retinal Fundus Biometrics for Low-False Identification
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Solution Overview
Problem
Existing biometric identification systems face challenges such as high false acceptance and rejection rates, inefficiency in identifying the correct person, and invasiveness, particularly with methods like DNA identification.
Innovation Solution
A biometric identification system that uses a captured image of a person's retina fundus for identification, health status determination, and medical condition diagnosis, leveraging imaging apparatuses and neural networks for efficient and secure processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DNA identification or traditional biometric methods are used, then identification capability is achieved, but invasiveness increases and false acceptance/rejection rates remain high
Solution Approach 1:
The patent replaces traditional mechanical or chemical biometric methods (DNA sampling, fingerprint contact) with optical imaging of the retina fundus. This substitution eliminates physical contact and invasive procedures while maintaining identification reliability through unique vascular pattern recognition in the retina
Solution Approach 2:
The patent changes the identification parameter from genetic material (DNA) or surface features (fingerprint) to internal vascular structures visible through retinal imaging. This parameter change enables non-invasive identification while achieving high reliability through the uniqueness of retinal vasculature patterns
2Productivity
If traditional biometric systems are used, then identification is performed, but false acceptance and rejection rates are high
Solution Approach 1:
The patent introduces specialized image processing algorithms and neural network-based recognition systems as intermediaries between the retinal image capture and identification decision. These intermediaries enhance processing accuracy by filtering noise, extracting vascular features, and comparing patterns against databases, thereby reducing false acceptance and rejection rates while maintaining efficient identification
Solution Approach 2:
The patent performs preliminary image enhancement, noise reduction, and feature extraction before final identification comparison. This preliminary processing ensures that the identification system operates on optimized data, improving both speed and accuracy while minimizing false results
Data Source
AI summary
The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and/or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person's eye(s). Imaging apparatus described herein may include electronics for analyzing and/or exchanging captured image and/or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and/or health status determination techniques, as described herein.