Biological Pattern Damage Detection Using Ridge Direction Analysis
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Solution Overview
Problem
Existing biometric authentication systems struggle to detect and address damage to biological patterns, such as fingerprints, due to surgical operations or burns, leading to potential unauthorized acts and the need for accurate verification and damage detection.
Innovation Solution
A biological pattern information processing device and method that includes a singular region detection unit to identify and repair damage in biological patterns by analyzing fingerprint images for directional singular points, ridge line direction, and ridge line pitch, using Gabor filters and templates to detect abnormalities and perform a cutting process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If foreign object detection is performed using color information of pixels, then foreign objects around a finger can be detected, but detection accuracy is insufficient when biological patterns are damaged due to surgical operations or burns
Solution Approach 1:
The patent changes the detection parameter from color information to ridge line directional information. By extracting ridge line directions and comparing them with abnormal ridge line directional pattern templates, the system can detect singular regions caused by damage while maintaining high detection accuracy
Solution Approach 2:
The patent transitions from two-dimensional color pixel analysis to three-dimensional ridge line directional analysis. By analyzing the orientation and direction of ridge lines in the fingerprint pattern, the system gains an additional dimensional perspective that enables detection of damage not visible through color alone
2Reliability
If biometric authentication is performed without damage detection, then authentication speed is maintained, but unauthorized acts may occur due to undetected damaged patterns
Solution Approach 1:
The patent performs preliminary damage detection by analyzing ridge line directional patterns before final authentication. The abnormal ridge line directional pattern templates are pre-prepared, and the system quickly compares current ridge line directions against these templates to identify singular regions, ensuring security without significant speed loss
Solution Approach 2:
The patent introduces ridge line directional analysis as an intermediary step between image capture and authentication decision. This intermediary layer filters out damaged patterns by detecting abnormal ridge line directions, allowing the system to maintain high speed while improving reliability through an efficient intermediate check
3Measurement precision
If detailed analysis of ridge line direction information is performed to detect damage, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent segments the fingerprint image into multiple portions and extracts ridge line direction information for each portion separately. By dividing the analysis into manageable segments and comparing each against templates, the system achieves high detection accuracy while keeping processing complexity manageable through modular analysis
Solution Approach 2:
The patent uses pre-prepared abnormal ridge line directional pattern templates as references for comparison. By copying known abnormal patterns into templates, the system can quickly match and identify damage without performing complex real-time analysis, reducing processing complexity while maintaining high detection accuracy
Data Source
AI summary
A biological pattern information processing device includes: a biological pattern information acquisition unit that acquires biological pattern information indicating a biological pattern; and a singular region detection unit that detects a singular region including damage, from the biological pattern indicated by the acquired biological pattern information.