Fingerprint Pattern Area Extraction for Quality Judgment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current fingerprint collation methods face challenges in accurately judging the quality and similarity of fingerprints due to limited consideration of common areas, particularly in cases where the overlap of characteristic features is narrow, leading to inaccurate rejections and failures in fingerprint matching.
Innovation Solution
A device and method for extracting a specific pattern area from fingerprint images, including the characteristic core area, which involves detecting pattern area slopes and bases to determine the completeness and quality of the fingerprint, enabling more accurate fingerprint collation and quality evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional quality judgment methods are used that only consider individual fingerprint ridgeline detection, then the ease of operation is improved, but the measurement precision deteriorates because narrow common areas between fingerprints lead to inaccurate quality assessment
Solution Approach 1:
The patent combines multiple quality judgment approaches: individual fingerprint ridgeline detection quality assessment with common area quality assessment. By merging these two evaluation dimensions, the system achieves both operational simplicity and measurement precision, as the common area quality specifically addresses the narrow overlap problem while maintaining the ease of automated judgment.
Solution Approach 2:
The patent segments the quality judgment process into distinct components: individual fingerprint quality assessment and common area quality assessment. This segmentation allows each aspect to be evaluated independently and comprehensively, improving measurement precision by specifically addressing the common area issue without compromising operational ease.
2Productivity
If the common area between fingerprints is narrow, then the productivity is improved by enabling faster processing, but the reliability deteriorates because collation accuracy decreases due to insufficient overlapping features
Solution Approach 1:
The patent performs preliminary quality assessment of the common area before executing the full collation process. By evaluating common area quality in advance, the system can identify cases where narrow overlaps would lead to poor collation accuracy and handle them appropriately, thereby maintaining reliability even when processing speed is prioritized.
Solution Approach 2:
The patent introduces feedback mechanisms where common area quality assessment results influence the collation process. When common area quality is insufficient, the system can adjust processing parameters or request re-acquisition, ensuring reliability is maintained while allowing fast processing when conditions permit.
3Measurement precision
If pattern area extraction based on slopes and bases is implemented, then the measurement precision is improved by accurately identifying the core area, but the device complexity increases due to additional processing steps
Solution Approach 1:
The patent extracts only the essential pattern area information (core area boundaries defined by slopes and bases) from the fingerprint image, rather than processing the entire image. This extraction approach improves measurement precision by focusing computational resources on the critical region while limiting the overall complexity to only the necessary extraction steps.
Solution Approach 2:
The patent applies local quality analysis by focusing computational effort on the pattern area (core region) rather than uniformly processing the entire fingerprint image. This localized approach improves precision in identifying characteristic features while reducing overall device complexity by avoiding unnecessary global processing.
Data Source
AI summary
To enable extraction of a specific area (pattern area) that includes a characteristic part of the inherent pattern of individual fingerprint from an inputted fingerprint image of a human being or other creature. The pattern area is extracted as the minimum area that is surrounded by a right pattern area slope, a left pattern area slope, and pattern area bases. The right (left) pattern area slope is a fingerprint ridge which runs towards the outside on the right (left) side from the start point that is located on the upper side of the center point of the fingerprint image, and satisfies a prescribed condition. The pattern area base is a fingerprint ridge which runs on the lower side of the center and satisfies a prescribed condition.