Biometric Coding Vector Representation for Fast Authentication
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Solution Overview
Problem
Existing biometric data comparison methods are inefficient, requiring complex operations and numerous comparisons, which slows down the authentication or identification process.
Innovation Solution
A method for coding biometric data items into vector representations using a database of representatives, where biometric data items are transformed and compared to obtain deviation values, allowing for the creation of a representative vector that simplifies comparison and manipulation, particularly by selecting relevant components based on threshold values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional biometric data comparison methods are used, then comparison accuracy can be maintained, but the operation complexity increases and processing speed decreases
Solution Approach 1:
The patent segments biometric data into multiple components or features, comparing only relevant segments rather than entire data sets. This reduces the number of operations required while maintaining comparison accuracy, directly addressing the contradiction between processing speed and operation complexity.
Solution Approach 2:
The patent transforms biometric data into different parameter representations or feature spaces, enabling more efficient comparison operations. By changing the parameter domain, the system achieves faster processing without sacrificing accuracy, resolving the technical contradiction.
2Ease of operation
If biometric data is transformed and represented in vector form with selected components, then the number of comparisons is reduced and processing is simplified, but the complexity of the transformation process increases
Solution Approach 1:
The patent performs preliminary transformation of biometric data into vector representations with selected components during the enrollment phase. This preliminary action simplifies subsequent comparison operations, as the transformed data requires fewer and simpler manipulations, directly improving ease of operation while accepting upfront transformation complexity.
3Loss of time
If all biometric data items in the database are compared, then identification accuracy is maintained, but the time required for authentication increases
Solution Approach 1:
The patent extracts and compares only the most relevant components or features from biometric data vectors, rather than comparing all data elements. This extraction approach maintains identification accuracy by focusing on discriminative features while significantly reducing authentication time, resolving the contradiction between speed and reliability.
Data Source
AI summary
A database stores a number N of biometric data representatives which correspond to a set of characteristics of said biometric data. Acquired biometric data is obtained. Then, transformed biometric data is obtained by transforming the acquired biometric data according to said set of characteristics. Next, N deviation values are obtained by applying a comparison between the transformed biometric data and the N representatives in the database. Finally, a vector representing the acquired biometric data is obtained, the representation vector having a number of components less than or equal to N, said components being determined in relation to said N deviation values.