Wearable Biometric Authentication Feature Point Segmentation
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Solution Overview
Problem
Existing authentication methods using biological information, such as fingerprints, face challenges in acquiring accurate and reliable data for secure authentication.
Innovation Solution
An information processing apparatus and method that includes a feature point detecting unit and a feature value extracting unit, which detect and characterize feature points from biological information images, such as fingerprints, using a sensor unit and light-emitting unit in a wearable device, to enhance authentication accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional authentication methods using biological information are used, then authentication can be performed, but authentication accuracy and reliability are insufficient
Solution Approach 1:
The patent segments the fingerprint image into multiple peripheral images centered at different feature points. Each peripheral image is processed independently to extract local feature values, which are then combined to form a comprehensive authentication result. This segmentation allows for more detailed and accurate authentication by focusing on specific characteristic regions of the fingerprint.
Solution Approach 2:
The patent transitions from using a single global fingerprint image to extracting feature values from multiple peripheral images at different spatial locations and orientations. This dimensional expansion from one central image to multiple peripheral views enables more comprehensive authentication by capturing fingerprint characteristics from multiple perspectives.
2Measurement precision
If feature values are extracted from peripheral images, then authentication accuracy improves, but processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by detecting feature points in the fingerprint image before extracting feature values. This pre-processing step identifies the locations of interest (such as ridges, valleys, or intersections) so that subsequent peripheral image extraction and feature value computation can be focused on these specific regions, improving efficiency and accuracy.
Solution Approach 2:
The patent applies local quality by extracting and analyzing feature values from peripheral images centered at specific feature points rather than uniformly processing the entire fingerprint image. Each peripheral image is processed with appropriate detail level for its specific location, allowing for optimized authentication that focuses computational resources on the most characteristic regions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the acquisition of appropriate information for accurate authentication, improving the robustness and reliability of biometric authentication processes.
Implementation Method 1
a light-emitting unit configured to emit light at least during acquisition of the image
Data Source
AI summary
An information processing apparatus, including: a feature point detecting unit configured to detect a feature point from an image including biological information obtained via a sensor unit; and a feature value extracting unit configured to extract a feature value that characterizes the feature point based on a peripheral image including the feature point.