Biometric User Selection Assistance Apparatus
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Solution Overview
Problem
Existing biometric authentication techniques face challenges in accurately identifying users when multiple registered users have similar biometric features, and accuracy is compromised by factors like angle and shading in face authentication, leading to difficulties in specifying the correct user.
Innovation Solution
A user selection assistance apparatus that registers biometric features of multiple users, detects current biometric data, compares it to registered data, determines similarity, and narrows down the list to users with a predetermined level of similarity, improving user selection convenience by displaying a chosen user list and allowing specific user selection for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric authentication is performed by detecting biometric features and comparing to registered data, then personal identification can be achieved, but when many registered users have similar biometric features, it becomes difficult to specify the correct user
Solution Approach 1:
The patent segments the user identification process into two stages: first performing biometric authentication to narrow down candidates to those with similar biometric features, then presenting a list of candidate users for selection. This segmentation resolves the contradiction by dividing the difficult single-step identification into manageable steps, maintaining measurement precision while improving reliability through user confirmation.
Solution Approach 2:
The patent introduces an intermediary element - a list of candidate users displayed to the user for selection. This intermediary bridges the gap between biometric matching and definitive user identification, allowing the system to handle cases where biometric features are similar among multiple users by letting the actual user confirm their identity from the candidate list.
2Ease of operation
If face authentication is performed, then user identification can be achieved, but accuracy is lowered due to angle, shading, or photographing conditions, making it difficult to specify the user
Solution Approach 1:
The patent prepares for potential authentication failures by having a candidate list ready for display when biometric matching results are ambiguous. This beforehand cushioning compensates for accuracy losses due to photographing conditions by providing a fallback mechanism that ensures reliable user identification even when face authentication accuracy is reduced.
3Reliability
If a complete list of all registered users is displayed for selection, then user can be accurately identified, but user selection convenience is reduced due to the large number of users
Solution Approach 1:
The patent segments the user list into candidate users based on biometric similarity, displaying only relevant candidates rather than all registered users. This segmentation maintains identification reliability by ensuring the correct user is in the list while improving selection convenience by reducing the number of users the user must search through.
Solution Approach 2:
The patent changes the parameter of the user list from displaying all users to displaying only candidate users who match biometric criteria. This parameter change optimizes both reliability (by including matching users) and convenience (by reducing list size), resolving the contradiction between comprehensive identification and ease of selection.
Data Source
AI summary
A user selection assistance apparatus includes: a registration unit that registers information of a plurality of users, which includes biometric features of the respective users, in advance and creates a list; a biometric detection unit that newly detects a current biometric feature of one user; a determination unit that compares the biometric feature that is detected to the biometric features that are registered, and determines a degree of similarity therebetween; a user choosing unit that chooses, from the list, one or more registered users having a biometric feature the degree of similarity of which satisfies a predetermined reference and creates a chosen user list; a display unit that displays the chosen user list; an input unit that receives selection of a specific registered user from the chosen user list; and an execution processing unit that executes predetermined processing when the input unit receives the selection of the specific registered user.