Biological Pattern Processing Using Ridge-Line Damage Detection
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Solution Overview
Problem
Existing biometric authentication systems face challenges in detecting and addressing damage to biological patterns, such as fingerprints, due to surgical operations or burns, which can lead to unauthorized acts and require accurate verification and damage detection.
Innovation Solution
A biological pattern information processing device and method that detects singular regions in biological patterns by analyzing fingerprint images for directional singular points, ridge line direction, and ridge line pitch, using Gabor filters and templates to identify abnormal patterns, and repairs damage by excluding singular regions.
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 is insufficient when biological patterns are damaged due to surgical operations or burns
Solution Approach 1:
The invention changes the detection parameter from color information to ridge line directional information. By analyzing the direction and pitch of ridge lines in the biological pattern, the system can detect singular regions caused by damage regardless of color variations, thereby improving adaptability to damaged patterns while maintaining detection accuracy
Solution Approach 2:
The invention transitions from two-dimensional color pixel analysis to three-dimensional ridge line structure analysis by incorporating directional information and pitch measurements. This dimensional expansion enables detection of structural abnormalities in damaged biological patterns that color-based methods cannot identify
2Reliability
If biometric authentication is performed without damage detection, then authentication speed is maintained, but authentication accuracy degrades when biological patterns are damaged
Solution Approach 1:
The invention segments the biological pattern into multiple regions and analyzes ridge line directions and pitches in each region separately. This segmentation enables targeted detection of singular regions without processing the entire pattern uniformly, maintaining reliability while reducing overall processing complexity
Solution Approach 2:
The invention performs preliminary damage detection by analyzing ridge line patterns before final authentication. By identifying singular regions in advance and excluding them from authentication processing, the system ensures authentication accuracy without adding significant complexity to the overall workflow
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.