Identification Document PUF Biometric Verification
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Solution Overview
Problem
Conventional fingerprint scanners require significant space, energy, and computing resources, making them difficult to integrate into compact objects like card-shaped identification documents, which limits their use in objects with limited installation space.
Innovation Solution
Incorporating a physical unclonable function (PUF) within the identification document, which emits a stimulation signal and receives a response signal from a biometric feature, allowing for personalized and resource-efficient verification without the need for direct image generation or storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional fingerprint scanners are used for unique identification, then identification accuracy is improved, but installation space requirement increases significantly
Solution Approach 1:
The patent extracts only the essential verification function from conventional fingerprint scanners. Instead of capturing and storing complete fingerprint images, the system extracts and verifies only specific feature points (minutiae), thereby achieving accurate identification with minimal space requirements.
Solution Approach 2:
The patent creates a simplified digital representation of the fingerprint by capturing only critical feature points rather than the entire fingerprint image. This copied feature set is sufficient for verification purposes and occupies minimal storage and processing space.
2Measurement precision
If high spatial resolution biometric sensors are used, then identification precision is improved, but device complexity and space consumption increase
Solution Approach 1:
The patent extracts only the necessary identification features from the fingerprint image, avoiding the need for high-resolution sensors that capture unnecessary detail. By focusing solely on feature points rather than the entire image, the system achieves precise identification with simpler, lower-resolution sensors.
3Measurement precision
If complete fingerprint images are captured and stored, then verification accuracy is improved, but energy consumption and computing resources increase
Solution Approach 1:
The patent extracts and stores only essential fingerprint feature points instead of complete images. This dramatically reduces the data volume that requires processing and storage, thereby lowering energy consumption while maintaining verification accuracy through the preserved critical features.
Solution Approach 2:
The system uses lightweight, temporary data structures for fingerprint features rather than permanent, high-resolution images. The feature point representations are computationally inexpensive to process and can be discarded after verification, reducing overall system resource requirements.
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 quick, resource-saving, and secure identification by linking the document directly to the person, reducing the need for extensive digital data processing and storage, while maintaining privacy through 'privacy by design'.
Implementation Method 1
a transmit-receive structure (107a, 107b) formed in the document body and designed to emit a stimulation signal in the direction of the surface area in order to generate a signal attached to the biometric feature of the person to receive reflected response signal
Data Source
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AI summary
The invention relates to an identification document (100) for identifying a person, comprising the document body (101) having a surface (103) which has a surface region (103a) to which a biometric feature of the individual can be applied, a physical structure (105), which is embedded in the document body (101) underneath the surface region (103a), a transmitting/receiving structure (107a, 107b), which is formed in the document body (101) and is designed to emit a stimulation signal in the direction of the surface region (103a) in order to obtain a response signal which is reflected on the biometric feature of the individual and which depends on the physical structure (105), and a processor (109), which is designed to associate the individual with the identification document (100) by using the reflected response signal.