Iris Pattern Authentication Using Slope Polarity Codes
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Solution Overview
Problem
Biometric authentication systems using iris patterns face a tradeoff between comparison accuracy and speed, making it difficult to improve processing speed while maintaining accuracy.
Innovation Solution
A biometric authentication apparatus and method that calculates curves based on digital iris images using polar coordinates and generates a comparison target code by arranging the polarities of the slopes of these curves, allowing for efficient comparison of iris patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct comparison of characteristic curves is performed to maintain high comparison accuracy, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent extracts only the essential comparison elements from the full characteristic curves by generating comparison target codes that represent the polarities of slopes at specific polar coordinate positions. This extraction allows comparison to be performed on condensed code data rather than complete curve data, significantly reducing processing time while preserving the necessary accuracy for authentication.
Solution Approach 2:
The patent transforms the continuous characteristic curve data into discrete comparison target codes by sampling at specific polar coordinate positions and converting slope polarities into coded representations. This parameter transformation from continuous to discrete form enables faster digital comparison operations while maintaining sufficient measurement precision for biometric authentication.
2Measurement precision
If detailed characteristic curve data is used for comparison, then comparison accuracy is improved, but data volume increases
Solution Approach 1:
The patent extracts only the essential comparison elements from the full characteristic curves by generating comparison target codes that represent the polarities of slopes at specific polar coordinate positions. This extraction allows comparison to be performed on condensed code data rather than complete curve data, significantly reducing processing time while preserving the necessary accuracy for authentication.
Solution Approach 2:
The patent creates simplified comparison target codes that serve as representative copies of the full characteristic curve information. These codes capture the essential features needed for authentication while occupying minimal storage space, enabling efficient data management and rapid comparison operations.
Data Source
AI summary
A plurality of pieces of information related to the iris pattern of an eye can be checked against each other in a short time. Characteristic curves (S(1)-S(8)), which are in accordance with eight ring areas (A1-A8) formed by dividing an image of an iris, are generated. The polarities of the gradients of these characteristic curves are then arranged, thereby generating codes (1-8) to be checked. Each of these codes (1-8) to be checked consists of a ternary combination of +, − and zero, whereby the amount of data to be handled during the checking process can be reduced. As a result, checking the codes to be checked can be performed in a short time.