Segmented Fingerprint Recognition for Identity Authentication

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Solution Overview

Problem

Existing fingerprint recognition methods provide only a moderate level of security, necessitating higher security measures for certain applications, and existing methods do not efficiently enhance security without increasing processing demands.

Innovation Solution

The method involves extracting multiple sub-portions from a fingerprint image, performing independent fingerprint recognition on each, and authenticating only upon a positive outcome from all, using the same algorithm to maintain processing efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple fingerprint recognition algorithms are applied to enhance security, then the level of security is improved, but the processing demands and time required increase significantly

Engineering Contradiction:
Improvelevel of securityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The fingerprint image is divided into multiple sub-images (e.g., left half and right half), and independent fingerprint recognition is performed on each sub-image. This segmentation allows parallel processing and reduces the computational burden on any single algorithm while maintaining high security through multiple verification points.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of processing a single large fingerprint image with multiple algorithms sequentially, the invention transitions to processing multiple smaller sub-images in parallel. This dimensional change from one large image to multiple smaller images enables concurrent execution of recognition algorithms, significantly reducing total processing time while maintaining equivalent or enhanced security.

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

2Measurement precision

If the size of fingerprint test image is increased to improve recognition accuracy, then measurement precision is improved, but processing demands increase quadratically

Engineering Contradiction:
Improverecognition accuracyVSAvoidprocessing demands
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The fingerprint image is segmented into multiple smaller sub-images, each of which is processed independently. This segmentation reduces the processing demands on each individual algorithm while maintaining sufficient precision through multiple verification points. The sum of processing requirements for multiple small sub-images is less than processing a single large image.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of processing the entire fingerprint image with a single algorithm, the invention applies multiple algorithms to multiple sub-images. This partial action approach processes only portions of the image with each algorithm, reducing overall computational complexity while achieving high recognition accuracy through cumulative verification.

Inventive Principle:
Principle #16Partial or excessive action

3Reliability

If multiple authentication methods are combined to increase security, then reliability is improved, but device complexity and implementation difficulty increase

Engineering Contradiction:
Improvesecurity levelVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The invention uses the same fingerprint recognition algorithm multiple times on different sub-images, making the system more universal rather than requiring multiple different algorithms. This approach maintains high security through repeated verification while avoiding the complexity of integrating and coordinating multiple different authentication algorithms.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

By segmenting the fingerprint image into sub-images and applying the same algorithm to each, the system achieves multi-verification without the complexity of multi-algorithm integration. The segmentation allows independent processing of each sub-image while maintaining consistent verification criteria across all segments.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12430945B2Method and device for authenticating an identity of a person
Publication Date: 2025.09.30 PRECISE BIOMETRICS AB
  • US12430945B2 patent drawing
  • US12430945B2 patent drawing
  • US12430945B2 patent drawing

AI summary

A method for authenticating an identity of a person may involve acquiring a sample fingerprint image of a finger of the person. Two or more sub-portions may be extracted from the sample fingerprint image to form a plurality of fingerprint test images. A fingerprint recognition may be independently run on the plurality of fingerprint test images. The identity of the person may be authenticated upon a positive outcome from the independently run finger-print recognitions. A device may be provided for authenticating an identity of a person.