Biometric Recognition for Automated Transaction Parameter Extraction
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Solution Overview
Problem
Users face difficulties in conducting online transactions, especially financial transactions, due to the need to manually input various parameters on devices with limited input/output capabilities, which can be cumbersome and prone to errors, particularly for those with limited literacy or using mobile devices.
Innovation Solution
The system utilizes recognition data, such as biometric samples like facial or fingerprint recognition, to automatically identify transaction parameters, allowing users to capture images or samples that are processed to recognize and specify transaction details, thereby initiating transactions without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual input methods are used for transaction parameters, then device complexity and input capabilities can be kept simple, but ease of operation deteriorates due to cumbersome data entry
Solution Approach 1:
The patent replaces manual mechanical input operations with optical recognition systems. Users capture images of transaction parameters (such as receipts, bills, or documents) using a camera, and the system automatically extracts and processes the parameter data through image recognition and OCR technologies, eliminating the need for manual typing or form filling.
Solution Approach 2:
The system enables self-service by allowing the transaction parameters to be automatically extracted and populated from captured images. The recognition system independently identifies and processes parameter data without requiring user intervention for data entry, reducing the operational burden on users.
2Productivity
If manual data entry is required for transaction parameters, then device cost can be kept low, but productivity deteriorates due to time-consuming input processes
Solution Approach 1:
The system performs preliminary action by capturing and storing parameter data in image form before the actual transaction processing. The image recognition and data extraction are performed in advance, so when the transaction needs to be executed, the parameters are already prepared and available for immediate use, significantly reducing processing time.
Solution Approach 2:
The patent substitutes manual data entry operations with automated image recognition and OCR systems. The camera captures parameter information visually, and computational algorithms automatically extract and structure the data, replacing the time-consuming manual typing process with rapid automated processing.
3Reliability
If manual input interfaces are used, then device simplicity is maintained, but reliability deteriorates due to input errors
Solution Approach 1:
The patent replaces manual input operations with automated optical recognition and image processing systems. The camera captures parameter data visually, and OCR algorithms automatically convert the visual information into structured data, eliminating manual typing errors and improving accuracy through automated extraction and validation processes.
Solution Approach 2:
The system incorporates feedback mechanisms where the recognized parameter data is displayed to users for verification before submission. This allows users to review and correct any recognition errors, ensuring high accuracy while maintaining ease of operation through automated preprocessing and error reduction.
Data Source
AI summary
An approach is provided for utilizing recognition data in conducting service transactions.