Biometric Identification Using Reference Object Scaling
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Solution Overview
Problem
Existing biometric identification methods require specialized equipment and are limited by the precision of the apparatus used, which can lead to inaccuracies in identifying individuals, especially in non-ideal conditions.
Innovation Solution
A digital and mobile device-based biometric identification system that uses a camera to capture images of a person's hand or face with a full-scale object of known dimensions, processing these images to create 2D or 3D virtual models and generate identification codes for secure verification, eliminating the need for specialized equipment and minimizing distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized identification equipment with mirrors and CTD matrix is used, then measurement precision is improved, but device complexity increases and requires specialized maintenance
Solution Approach 1:
The patent replaces complex mechanical/optical measurement systems (mirrors, CTD matrix, specialized sensors) with a digital camera-based imaging system. The camera captures images that are then processed through image analysis algorithms to extract hand geometry measurements, substituting physical measurement mechanics with digital imaging and computational methods.
Solution Approach 2:
The patent creates a digital copy (image) of the hand geometry rather than directly measuring physical dimensions with specialized equipment. The captured image serves as a replica that can be analyzed computationally to derive all necessary geometric measurements, eliminating the need for direct physical measurement apparatus.
2Reliability
If specialized equipment with multiple components is used, then identification accuracy is improved, but ease of operation deteriorates due to alignment and maintenance requirements
Solution Approach 1:
The system performs self-calibration and self-measurement through automated image processing algorithms. The software automatically identifies hand features, calculates geometric parameters, and generates identification codes without requiring operator intervention for alignment or calibration, making the system easy to operate while maintaining high accuracy.
Solution Approach 2:
The patent pre-processes images to automatically detect and correct for potential distortion issues before measurements are taken. By implementing preliminary image analysis and correction algorithms, the system prepares the data in advance, eliminating the need for manual alignment procedures and ensuring accurate measurements without complex operational steps.
3Measurement precision
If a full-scale object with known dimensions is included in the image, then measurement precision is improved by providing a reference scale, but the image composition requirements become more complex
Solution Approach 1:
The patent introduces a full-scale reference object as an intermediary element in the image. This object with known dimensions serves as a mediator that enables the calculation of real-world scales from pixel measurements, allowing accurate dimension extraction without requiring the camera itself to have precise calibration.
Solution Approach 2:
The system automatically adjusts measurement parameters based on the detected full-scale object. By identifying the reference object in the image and using its known dimensions, the system dynamically calculates the appropriate scale factor and measurement parameters, converting pixel distances to real-world dimensions without manual intervention.
Data Source
AI summary
Identification systems comprising methods and apparatus, including computer programs encoded on a computer storage medium on digital and mobile devices, for determining a person's identity based on biometric characteristics of a person's hand or face using dimensions of a full-scale object from within at least one image of the person's hand or face. The method and apparatus of the present invention may be used to protect against identity theft in performing financial transactions, and to prevent unauthorized access to computer systems, mobile devices, web sites, and any premises either in banks, businesses and other organizations dealing with confidential information.