Partial Fingerprint Matching Using Attribute Information

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Solution Overview

Problem

The existing techniques for combining partial fingerprints to identify individuals are hindered by insufficient keypoint extraction and varying missing portions in partial fingerprints, leading to low probability of successful combination searches.

Innovation Solution

A fingerprint information processing apparatus and method that acquires partial fingerprint information and attribute information to generate likelihood scores, integrating both fingerprint and attribute similarity to determine if partial fingerprints originate from the same person.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If partial fingerprints are combined based on keypoint data similarity, then fingerprint collation processing can be performed, but the collation accuracy becomes insufficient due to insufficient keypoint extraction and varying missing portions

Engineering Contradiction:
Improvefingerprint collation processing capabilityVSAvoidcollation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent introduces attribute information (dimensional expansion) beyond traditional fingerprint image data. By combining fingerprint feature data with attribute information such as personal characteristics, the system creates a multi-dimensional evaluation framework that compensates for insufficient keypoint extraction and varying fingerprint portions, thereby improving collation accuracy without sacrificing processing capability

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent creates a composite evaluation system that integrates multiple types of data (fingerprint feature data + attribute information). This composite approach allows the system to leverage complementary information from different data sources, where attribute information fills gaps left by incomplete keypoint extraction, achieving both productivity and precision

Inventive Principle:
Principle #40Composite materials

2Quantity of substance

If keypoint extraction is performed on partial fingerprints, then fingerprint matching can be attempted, but the quantity of extracted keypoints becomes insufficient leading to low probability of successful combination searches

Engineering Contradiction:
Improvekeypoint data quantityVSAvoidcombination search probability
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent introduces attribute information as an intermediary element that bridges the gap between insufficient keypoint data and reliable matching. This intermediary data type provides additional identification dimensions that compensate for the limited quantity of fingerprint keypoints, enabling successful combination searches even when keypoint extraction is incomplete

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent changes the evaluation parameters from solely relying on keypoint quantity and similarity to incorporating attribute information dimensions. This parameter expansion allows the system to maintain high reliability in combination searches even when the quantity of extracted keypoints remains insufficient, as the attribute information provides alternative verification criteria

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20240185641A1Fingerprint information processing apparatus, fingerprint information processing method, and non-transitory storage medium
Publication Date: 2024.06.06 NEC CORP
  • US20240185641A1 patent drawing
  • US20240185641A1 patent drawing
  • US20240185641A1 patent drawing

AI summary

The present invention provides a fingerprint information processing apparatus (10) including an acquisition unit (11) that acquires a plurality of pieces of partial fingerprint information, and attribute information of a person from whom each of a plurality of pieces of the partial fingerprint information is derived, and an information generation unit (12) that generates first information indicating a likelihood that a plurality of pieces of the partial fingerprint information are derived from a same person, by using the partial fingerprint information and the attribute information.