Newborn Biometric Pattern Classification for Accurate Identification
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Solution Overview
Problem
Existing technologies face challenges in accurately identifying newborns, particularly in situations where postpartum care is inadequate, due to difficulties in acquiring high-quality biometric data such as fingerprints or vein patterns, leading to potential misidentification or impersonation.
Innovation Solution
An information processing apparatus and method that stores identification information and determines the type of biometric patterns, such as fingerprints, in association with the newborn, using a storage unit and determination units to enhance identification accuracy, even with low-quality data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric data acquisition is performed on newborns in postpartum care conditions, then identification accuracy can be improved, but data quality deteriorates due to inadequate care conditions
Solution Approach 1:
The system performs preliminary classification of fingerprint patterns into predetermined types before verification. By categorizing the fingerprint pattern type in advance, the system can apply appropriate verification methods for each pattern type, thereby improving identification accuracy even when the fingerprint quality is poor due to inadequate postpartum care conditions
Solution Approach 2:
The system changes the verification parameters based on the classified fingerprint pattern type. Different fingerprint patterns require different verification approaches, and by adapting the verification parameters to match the specific pattern type, the system maintains high identification accuracy despite variations in data quality caused by care conditions
2Ease of operation
If simple identification methods are used for newborns, then ease of operation is improved, but identification accuracy deteriorates leading to misidentification
Solution Approach 1:
The identification process is segmented into distinct stages: fingerprint acquisition, pattern type classification, and verification. This segmentation allows the system to apply appropriate complexity at each stage - simple acquisition followed by automated classification and verification - maintaining ease of operation while ensuring high identification accuracy through systematic processing
Solution Approach 2:
The fingerprint pattern type classification serves as an intermediary step between simple fingerprint acquisition and complex verification. This intermediate classification process bridges the gap by automatically determining the appropriate verification approach, thereby maintaining operational simplicity while preventing misidentification through accurate pattern-matched verification
Data Source
AI summary
An information processing apparatus (1) comprises: a storage unit (11) that stores first identification information for indicating a person related to a newborn; a first newborn information acquisition unit (12) that acquires first newborn living-body information from the newborn; a first determination unit (13) that determines which one of predetermined plurality types of pattern is a type of pattern that the first newborn living-body information has; and a storage control unit (14) that causes the storage unit (11) to store first determination information indicating a determination result by the first determination unit (13) in association with the first identification information.