create document expecification for an OCR software
Gathering Requirements
Defining Functional Specifications
- Images
- Image enhancement
- Noise reduction
- Text
- Tables
- Barcodes
- Data validation
- Formatting
Non-Functional Specifications
- Processing speed: 1000 pages per minute
- Throughput: 5000 documents per hour
- Hardware: Minimum 8GB RAM, 2.0 GHz processor
- Software: Windows 10, Java JDK 8 or above
- Handle up to 10,000 documents per day
- Support concurrent processing of 100 documents
- Comply with GDPR regulations
- Ensure HIPAA compliance
- Intuitive user interface
- Minimal learning curve
- Integration with OpenCV library
- Utilize Tesseract OCR engine
- Allow custom OCR templates
- Support plugin architecture for extensibility
Testing and Validation
- Create test scenarios for OCR functionalities such as text recognition, image preprocessing, and language support.
- Create test cases for each scenario, specifying inputs, expected outputs, and any preconditions or dependencies.
- Define the expected results for each test case, considering factors such as accuracy, speed, and error handling.
- Specify the acceptance criteria for each test case, including the tolerance for errors or deviations from the expected results.
- Determine the validation methods to ensure the accuracy of the OCR software's extracted data.
- Specify the criteria for validating the accuracy, such as manual verification, comparison with ground truth data, or statistical analysis.
- Identify the performance metrics to be evaluated, such as processing speed, memory usage, or scalability.
- Define the performance testing scenarios and expected performance benchmarks or thresholds.
- Specify the criteria for user acceptance testing, considering factors such as ease of use, user interface, and overall user satisfaction.
- Define the UAT scenarios and expected outcomes or success criteria.
- Assess the need for training datasets to improve the OCR software's accuracy.
- Determine the type and size of training datasets required, considering factors such as language support and document types.
Use in Manifestly