Fingerprint Pattern Estimation via Repeated Surface Image Acquisition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing biometric authentication technologies face challenges in accurately estimating fingerprint patterns, particularly for newborns, due to factors like sebum and amniotic fluid, leading to inadequate identification in resource-limited settings.
Innovation Solution
An information processing apparatus and method that repeatedly acquires and estimates fingerprint patterns until a predetermined number of images with a consistent pattern are obtained, using machine learning algorithms to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If single image fingerprint pattern estimation is performed, then processing speed is improved, but identification accuracy deteriorates due to insufficient data
Solution Approach 1:
The system performs preliminary acquisition of multiple surface images before final pattern estimation. By collecting multiple images in advance and storing them in a buffer, the system ensures sufficient data is available for accurate pattern estimation without delaying the main processing flow, thus resolving the contradiction between processing speed and identification accuracy.
Solution Approach 2:
The acquisition unit continuously acquires surface images and the estimation unit continuously estimates patterns in a loop, maintaining continuous useful action. This continuous processing ensures that sufficient data is accumulated for accurate estimation while keeping the system responsive and efficient, addressing both speed and accuracy requirements.
2Measurement precision
If multiple surface images are acquired for pattern estimation, then identification accuracy is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary acquisition of multiple surface images before final pattern estimation. By collecting multiple images in advance and storing them in a buffer, the system ensures sufficient data is available for accurate pattern estimation without delaying the main processing flow, thus resolving the contradiction between processing speed and identification accuracy.
Solution Approach 2:
The system segments the fingerprint analysis process into distinct functional units: acquisition unit for image capture, estimation unit for pattern recognition, and buffer for data storage. This segmentation allows each component to specialize in its function, managing complexity while achieving accurate multi-image processing.
3Measurement precision
If repeated acquisition and estimation operations are performed, then pattern estimation accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary acquisition of multiple surface images before final pattern estimation. By collecting multiple images in advance and storing them in a buffer, the system ensures sufficient data is available for accurate pattern estimation without delaying the main processing flow, thus resolving the contradiction between processing speed and identification accuracy.
Solution Approach 2:
The acquisition unit continuously acquires surface images and the estimation unit continuously estimates patterns in a loop, maintaining continuous useful action. This continuous processing ensures that sufficient data is accumulated for accurate estimation while keeping the system responsive and efficient, addressing both speed and accuracy requirements.
Data Source
AI summary
An information processing apparatus includes: an acquisition unit that performs an acquisition operation of acquiring a surface image including fingerprints of a target person; a first estimation unit that performs a first estimation operation of estimating a pattern of the fingerprints from the acquired surface image; and an estimation control unit that controls the acquisition unit and the first estimation unit to repeat the acquisition operation and the first estimation operation until a predetermined number of surface images estimated by the first estimation unit to have a first pattern are acquired.


