Large-Area Biometric Input Surface with Selective Scanning
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Solution Overview
Problem
Existing fingerprint imaging technologies struggle to obtain clear image data efficiently and quickly over large areas, leading to prolonged data acquisition times and waste of non-essential data, disrupting user experience in processes requiring frequent personal identification.
Innovation Solution
An information processing system with a position detection mechanism and reading mechanism that narrows down the reading region based on user input, using reduced scanning lines to enhance reading accuracy and efficiency, allowing clear biometric data capture at arbitrary positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the number of scanning lines is increased to cover large areas, then the coverage area is improved, but the time to obtain image data increases
Solution Approach 1:
The input surface is divided into multiple detection regions, each with its own set of detection elements. This segmentation allows the system to process different areas independently and selectively, enabling fast acquisition of biometric data from the specific region where the user places their finger without requiring sequential scanning of the entire large surface area.
Solution Approach 2:
Different regions of the input surface have different detection element densities configured according to local requirements. The region where biometric data needs to be captured has higher detection element density, while other regions have lower density, optimizing both data quality and processing speed by concentrating resources where needed.
2Measurement precision
If detection elements are arranged in a dense array to improve reading accuracy, then the reading accuracy is improved, but the device complexity increases
Solution Approach 1:
The detection elements are organized into multiple groups with shared driver circuits. By segmenting the detection array and implementing shared scanning mechanisms, the system achieves high reading accuracy through dense detection element arrangement while reducing the number of independent drivers required, thus lowering device complexity.
Solution Approach 2:
The detection elements serve multiple functions: they detect biometric information, provide position specification through their activation patterns, and enable both high-accuracy reading and position detection. This multi-functionality reduces the need for separate components and simplifies the overall device structure.
3Quantity of substance
If the entire large area is scanned to ensure complete data collection, then the data completeness is improved, but the productivity decreases due to wasted data processing
Solution Approach 1:
The system extracts and processes only the biometric data from the specific detection region where the user places their finger, rather than scanning and processing the entire large input surface. This extraction approach ensures data completeness for identification purposes while dramatically improving productivity by eliminating unnecessary data processing from unused regions.
Solution Approach 2:
The position detection mechanism provides feedback about where the user places their finger, allowing the system to dynamically adjust which detection regions need to be scanned. This feedback loop ensures that only relevant data is collected and processed, maintaining data completeness for identification while optimizing processing efficiency by avoiding unnecessary scans of other regions.
Data Source
AI summary
A technique is provided that is capable of obtaining image data for personal identification clearly in a short time at an arbitrary position in an area region at least about several times greater than a fingertip. In addition, a technique is provided that allows smooth progress of a series of process flow in a reservation site and an electronic commerce site for excellent user experience. An information processing system is provided that includes: an input section having a surface and configured to allow a user to contact or approximate a position specifier to the surface for information input; and a processing section configured to perform processing based on the information input to the input section, wherein the input section includes a position detection mechanism configured to detect a position of the position specifier on the surface and a reading mechanism configured to read biometric information of the user.