Automated Tax Document Capture Using Dual Database Feature Matching
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Solution Overview
Problem
Current tax data capture methods are inefficient and require manual input, as they lack automated processes for identifying and extracting relevant information from tax documents, leading to increased user effort and potential errors.
Innovation Solution
A computer-implemented method using imaging devices to capture tax data, where features from documents are extracted and compared to databases, allowing for automatic identification of tax forms and population of corresponding fields in tax preparation applications, leveraging both textual and geometric databases for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data input methods are used, then system complexity is low, but productivity and user effort increase significantly
Solution Approach 1:
The patent replaces manual mechanical data entry with automated optical character recognition (OCR) and image processing systems. The imaging device captures documents, and software automatically extracts and populates tax data, eliminating the need for manual typing and reducing productivity losses associated with repetitive manual input.
Solution Approach 2:
The system enables self-service by allowing the tax preparation software to automatically capture, process, and populate tax data from uploaded documents without requiring user intervention for data entry. The software independently performs OCR, data extraction, and field population functions.
2Measurement precision
If automated feature extraction and database comparison is implemented, then measurement precision and accuracy improve, but device complexity increases
Solution Approach 1:
The patent segments the complex data processing task into distinct modules: document imaging, feature extraction, textual database comparison, geometric database comparison, and confidence level evaluation. Each module handles a specific aspect of the identification process, making the overall system more manageable and maintainable.
Solution Approach 2:
The patent enhances identification accuracy by adding a geometric dimension to the comparison process. In addition to textual database matching, the system performs geometric database comparison using extracted features such as form layout, field positions, and document structure, creating a multi-dimensional verification approach.
3Reliability
If both textual and geometric databases are used for comparison, then reliability and accuracy improve, but loss of time and processing duration increase
Solution Approach 1:
The patent performs preliminary feature extraction and document preprocessing before the actual database comparisons. By pre-processing the document image and extracting relevant features in advance, the system reduces the time required for the subsequent textual and geometric database comparisons, offsetting the additional processing time required for dual-database verification.
Solution Approach 2:
The system implements a confidence level evaluation mechanism that provides feedback on the quality and reliability of the identification process. When the confidence level exceeds a threshold, the system can proceed with rapid processing; when confidence is low, it triggers additional verification steps, optimizing the balance between reliability and processing time.
Data Source
AI summary
A computer-implemented method of acquiring tax data for use in tax preparation application includes acquiring an image of at least one document containing tax data therein with an imaging device. A computer extracts one or more features from the acquired image of the at least one document and compares the extracted one or more features to a database containing a plurality of different tax forms. The database may include a textual database and/or geometric database. The computer identifies a tax form corresponding to the at least one document from the plurality of different tax forms based at least in part on a confidence level associated with the comparison of the extracted one or more features to the database. At least a portion of the tax data from the acquired image is transferred into corresponding fields of the tax preparation application.